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20160041281

14921383

1. A signal processing device that processes a measurement signal received by a vibration receiving means receiving vibration generated by a vibration generating means generating the vibration in an underground structure region having a plurality of regions of vibration propagation speeds, the signal processing device comprising: a measurement signal accumulating means for accumulating a first measurement signal having received first vibration generated by the vibration generating means and a second measurement signal having received second vibration generated at a time interval from generation of the first vibration; a vibration propagation speed data accumulating means for accumulating data of the vibration propagation speed; a propagation speed calculating means for calculating strength and a direction of the vibration in the underground structure region using a calculation model including the data of the vibration propagation speed; a propagation speed distribution information accumulating means for accumulating propagation speed distribution information in the underground structure region calculated by the propagation speed calculating means; a simulated signal input means for inputting seismic source information obtained by simulating the vibration generating means to the calculation model; a simulated propagation speed calculating means for inputting the seismic source information to the calculation model by the simulated signal input means and calculating the strength and the direction of the vibration in the underground structure region using the calculation model; a simulated propagation speed distribution information accumulating means for accumulating simulated propagation speed distribution information calculated by the simulated propagation speed calculating means; an update amount calculating means for calculating an update amount to update the calculation model, on the basis of the propagation speed distribution information and the simulated propagation speed distribution information; and an updating means for updating the calculation model using the update amount, wherein the calculation model is a solid model, and the propagation speed calculating means calculates strength and a direction of the first vibration using the first measurement signal input to the calculation model and calculates strength and a direction of the second vibration using the second measurement signal input to the calculation model.

20120192143

13011448

1. A computer, comprising: a processor configured to execute computer instructions; and memory comprising: a transformation software application configured for receiving an input model conforming to a modeling language in which model elements playing pattern roles are detected, and producing an output model that concisely reports occurrences of those patterns by utilizing transformation logic of the transformation software application and a pattern specification configured as a transformation relation; the processor is configured to execute the transformation software application by utilizing the pattern specification to detect pattern occurrences in the input model; and the processor is configured to report the pattern occurrences in the output model, wherein the pattern occurrences are instances of detecting patterns in the input model.

20020010553

09345080

1. A method for presenting the relationship between data from an assay relating to thrombosis-hemostasis on an unknown sample, and data from a plurality of assays relating to thrombosis-hemostasis from known sample populations comprising: (a) providing data from at least one time dependent measurement profile for each of a plurality of known blood samples; (b) measuring a property over time as to derive at least one time-dependent measurement on an unknown blood sample; (c) transforming data from steps (a) and (b) to one or more predicator variables which sufficiently captures the information content of both the unknown blood sample's time-dependent measurement profile and the known blood samples' time-dependent measurement profiles; (e) creating a topological feature map of the sets of predictor variables from step (c) of the known samples in step (a) whose spatial locations within the map correspond to intrinsic features of the sets of predictor variables; (f) determining the position on the map of the unknown sample corresponding to its set of predictor variables; (g) presenting the data from said unknown blood sample time-dependent measurement profile relative to the data from said known blood sample time-dependent measurement profiles.

20130305229

13945783

1. A method performed on a computing device, the method comprising performing code auto-completion based on dynamic analysis that includes discovering code elements in a file comprising code, where at least a portion of the discovered code elements are not discoverable based on static analysis.

20150106783

14257952

1. A method comprising: determining at least a first stage that includes one or more sub-problems of a dynamic programming problem; determining a second stage includes one or more sub-problems of the dynamic programming problem, wherein solutions to the one or more sub-problems in the second stage depend on at least one solution produced by at least one sub-problem of the one or more sub-problems included in the first stage; determining a first group of stages that includes the first stage; determining a second group of stages that includes the second stage; generating a solution to be used instead of the at least one solution on which the one or more sub-problems of the second stage depend; and processing the first group of stages and the second group of stages in parallel via a first hardware processing unit and a second hardware processing unit, respectively, wherein the processing of the second group of stages uses the generated solution to compute solutions to the one or more sub-problems in the second stage, one or more of the computed solutions being parallel to a true solution.

20130259324

13527454

1. A method for face recognition comprising the steps of: (a) collecting a match facial image and a reference image; (b) selecting one or more facial features from each of the match facial image and the reference image; (c) obtaining at least one match facial feature and a match deviation of the reference image corresponding to the facial features of the match facial image; (d) creating a match geometric model and a reference geometric model; (e) obtaining a model deviation by comparing the match geometric model and the reference geometric model; and (f) employing a match deviation and a model deviation to obtain a recognition score based on a predetermined model.

9875560

14543651

1. A physiological parameter presentation system, comprising: a processor; an electronic input receiver configured to receive an electronic value corresponding to a measured physiological parameter of a patient; a data store configured to store a plurality of historical values of the measured physiological parameter; a display module in communication with the processor configured to generate a graphical display including a semicircular gauge along which are simultaneously positioned: a range of possible values for the physiological parameter including a minimum value and a maximum value; a visual representation of at least one threshold value between the minimum value and the maximum value; a numerical display of the current value of the measured physiological parameter; an indication of a range of variation of the measured value of the physiological parameter within a particular time period, wherein the indication of the range of variation extends in a first direction along the semicircular gauge from a point corresponding to the current value to a point corresponding to a maximum value of the measured physiological parameter during the particular time period, and wherein the indication of the range of variation extends in second direction opposite to the first direction along the semicircular gauge to a point corresponding to a minimum value of the measured physiological parameter within the particular time period; and a numerical historical comparator based on one or more of the historical values of the measured physiological parameter, wherein the numerical historical comparator is made visually distinguishable from the numerical display of the current value; and an electronic display output configured to output the generated graphical display to an electronic display.

8543532

12573522

1. A method comprising: extracting tags from a plurality of information sources reflecting the expertise of a user; creating a model of the user's expertise by applying a probabilistic analysis on the extracted tags; collecting assignment information including at least one or more specified areas of expertise associated with one or more assignment tasks; and matching the model of the user's expertise against the specified areas of expertise associated with the one or more assignment tasks.

8301991

12957238

1. An apparatus, comprising: an input for receiving a signal including at least one symbol encoded therein, the at least one symbol including at least one uncoded bit; and an LDPC (Low Density Parity Check) decoder for performing decoding of the signal, in accordance with symbol-based decoding using symbol metrics, thereby generating an estimate of the at least one symbol including an estimate of the at least one uncoded bit.

20050084096

10490413

1. A method of implementing, in an electronic component, a cryptography algorithm using calculation means, wherein it consists of performing the following steps: a) choosing a value e from amongst a given number of values e i , e i being integer numbers, b) testing whether the value e i chosen satisfies a predetermined equation: if such is the case, then e=e i , and storing e with a view to its use in calculations of the said cryptography algorithm, if such is not the case, reiterating the previous steps choosing another value of e i and if no value of e i can be attributed to e then noting that the calculations of the said cryptography algorithm using the value e cannot be made.

8238488

12547285

1. A method of decoding a signal transmitted via a multiple input multiple output (MIMO) communication channel, the method comprising: receiving a data symbol vector comprising a plurality of data symbols corresponding to a plurality of transmitted data symbols; selecting one of a plurality of candidate data symbols, the plurality of candidate data symbols defining a candidate vector, wherein the plurality of candidate data symbols corresponds to the plurality of transmitted data symbols; grouping all possible values of the selected one candidate data symbol into two or more bit groups; selecting a bit group from the two or more bit groups; determining a local optimum candidate value from values in the selected bit group for the selected one candidate data symbol for a given set of values corresponding to all of the plurality of candidate data symbols but the selected one candidate data symbol, the local optimum candidate value minimizing a distance value corresponding to a distance between the received data symbol vector and a channel matrix multiplied with the candidate vector, without calculating the distance value; and calculating a likelihood value for a bit in the selected one candidate data symbol based at least in part on the determined local optimum candidate value.

8689173

13011448

1. A method for detecting pattern occurrences utilizing a transformation software application, as a query-view-transformation (QVT) tool, on a computer, comprising: receiving an input model conforming to a modeling language in which model elements playing pattern roles are detected as patterns by utilizing transformation logic of the transformation software application and a pattern specification configured as a transformation relation; producing an output model that concisely reports pattern occurrences of the patterns; and outputting the pattern occurrences in the output model, wherein the pattern occurrences are instances of detecting the patterns in the input model; wherein a results metamodel is a structure for the output model; and wherein the output model is designed to receive the pattern occurrences as instances of detecting the patterns in the input model without the computer transforming the input model into the output model.

9324321

14201704

1. A method of adapting and personalizing a deep neural network (DNN) model for automatic speech recognition (ASR), comprising: receiving, by a computing device, at least one utterance comprising a plurality of speech features for one or more speakers from one or more ASR tasks; applying, by the computing device, a decomposition process to two or more matrices in the DNN model; in response to applying the decomposition process, adapting the DNN model to include a decomposed matrix that is generated from decomposition processing of the two or more matrices; and exposing the adapted DNN model as a service.

20170316753

15151041

1. A method for adaptively changing display parameters of virtual reality content, the method comprising; storing, in one or more storage devices, virtual reality image data captured by one or more image capturing devices; retrieving, from the one or more storage devices, parameters of one or both of transmission speed of a wireless connection between a server with access to the one or more storage devices storing the virtual reality image data and a virtual reality device of a user requesting the virtual reality image data, and a display of the virtual reality device; generating, using one or more processors, one or more renditions from the virtual reality image data in real-time and according to the retrieved parameters; and transmitting, to the virtual reality device being configured to inversely project the virtual reality image data to a sphere or other three-dimensional shape for display on the virtual reality device, at least a portion of one of the one or more renditions.

20110077997

12567538

1. A method for chargeback cost allocation in an information technology (IT) system including multiple resources, the method comprising: categorizing cost attributes of different resources into multiple levels defining a cost attribute hierarchy; defining different chargeback groups for resources with similar cost attributes and chargeback policies at different levels of the hierarchy; and performing chargeback cost allocation by allocating the cost for resources at each hierarchy level independently using chargeback policies defined for the resources at that hierarchy level.

7752064

11087034

1. A method for designing an infrastructure to perform one or more tasks in an environment of resources comprising the steps of: determining one or more relations among the resources; constructing a graph representation of said relations and the resources; determining one or more paths through said graph representation wherein each of said paths represents a process for performing at least one of the tasks; determining at least one group of those of said resources that lie along said one or more paths, said at least one group having a minimal risk; determining a plurality of anti-correlated families wherein each of said anti-correlated families contains two or more of said resources lying along said one or more paths that are anti-correlated; and determining one or more perspective groups of said resources from said plurality of anti-correlated families.

5493507

08136203

1. A digital circuit design assist system for designing a desired digital circuit consisting of a plurality of hardware units and at least one firmware unit for controlling said digital circuit as a unit, said system comprising: a functional model storage unit for storing each functional model functionally expressing each of said hardware units by a hardware description language through a text editor by coding input; a logic synthesis means for converting said functional model into a structural model structurally expressed by said hardware description language; a structural model storage unit for storing said structural model; a language model library storage unit for storing a language model expressing each of a plurality of components constituting each of said hardware units by said hardware description language; and a hardware description language simulation means for verifying whether or not the logic of each said hardware unit is correct with regard to said functional model, said structural model and said language model, via a test model which supplies a test pattern to each of said functional models and each of said structural models, and receives outputs from the models to verify the behaviors of the models.

20140208415

14084270

1. A method of providing controlled, electronic access to variable domain data stored in a data processing system, the method comprising: receiving information from a principal that includes information identifying the principal; performing one or more logical relationship operations on a data security model and a variable domain data model using security attributes of the data security model to determine a level of resource data access to be granted to the principal, wherein the data security model and the variable domain model share a common logical relationship data structure; and granting the principal access to the resource data in accordance with the determined level of resource data access to be granted to the principal.

20070011118

11426896

1. A special purpose processor comprising: a FPGA implementing a neural model, the neural model including multiple neural elements the FPGA including multiple cores to implement neural elements, the cores processing data in parallel, the processing in the cores including presynaptic calculations using input values and weights, postsynaptic calculations to produce postsynaptic outputs using the results of the presynaptic calculations and plasticity calculations to modify the weights, the input values being provided to the cores by looping through a connection table to get pointers for an output storage table, the pointers indicating the inputs for the cores in a predefined order.

9516350

14602897

1. An apparatus of decoding video, the apparatus comprising: a parser which obtains, from a bitstream, a split transformation flag for a current depth, and when the split transformation flag indicates non-split for the current depth, determines a transformation depth is equal to the current depth; a context modeler which determines a context increasement parameter for determining a context index based on whether the transformation depth is equal to a predetermined value without using a size of a transformation unit, and obtains a context model for arithmetic decoding a transformation unit significant coefficient flag using the context index obtained by adding the context increasement parameter and a context offset; and an arithmetic decoder which arithmetic decodes the transformation unit significant coefficient flag based on the context model, and determines whether at least one non-zero transformation coefficient exists in the transformation unit of the transformation depth, based on the transformation unit significant coefficient flag, wherein the transformation depth indicates a number of times a height and a width of a coding unit are split to obtain the transformation unit, wherein the predetermined value is zero, and wherein, when the split transformation flag indicates split for the current depth, a transformation unit of the current depth is split into one or more transformation units of a next depth, and a split transformation flag for the next depth is obtained from the bitstream.

5444619

08128069

1. In a digital computer, a method for predicting oil reservoir properties using one or more types of seismic data for the reservoir and one or more types of wellbore data for one or more oil wells in the reservoir, comprising the steps of: a) relating the seismic data to the wellbore data for at least one oil well to determine the approximate intersections of the seismic and wellbore data; b) estimating a significance of a match of one or more types of said seismic data to a type of wellbore data using said intersections to determine nonrandom matches between seismic data and wellbore data; c) calibrating the relationship between seismic data and wellbore data by training an Artificial Neural Network (ANN) using one or more of said nonrandom matches; and d) predicting a reservoir property using said trained ANN based on seismic data.

8486268

13406956

1. A method for matching peaks in liquid chromatography-mass spectroscopy (LC-MS) datasets from multiple runs, said method comprising steps of: generating an aligned query list for peaks from a first dataset from a first LC-MS run; generating a target peak list for peaks from a second dataset from a second LC-MS run; generating a mass-to-charge ratio (m/z) tolerance parameter and a retention time (Rt) tolerance parameter that satisfy a specification input criterion for a false matching rate between said aligned query list and said target peak list; determining a true matching rate between said aligned query list and said target peak list employing said m/z tolerance parameter and said Rt tolerance parameter; determining an optimized m/z tolerance value and an optimized Rt tolerance value by repeating said step of generating said m/z tolerance parameter and Rt tolerance parameter and said step of determining said true matching rate; and generating an optimal list of matches among peaks across said aligned query list and said target peak list employing said optimized m/z tolerance value and said optimized Rt tolerance value as matching parameters.

10036963

15262452

1. A method comprising: accessing an indication of an output of an optical source of a photolithography system, the optical source being associated with a range of input values and a corresponding range of output values, the correspondence between the range of input values and the corresponding range of output values being based on an initial gain relationship; accessing an indication of an input provided to the optical source of the photolithography system, the provided input being associated with the accessed indication of the output of the optical source; determining an output error from an expected amount of output and the accessed indication of the output of the optical source; estimating a local gain associated with the accessed indication of the input provided to the optical source; determining a gain error from the estimated local gain and an expected local gain; estimating a current value of one or more operating metrics of the optical source based on the output error and/or the gain error; and updating the initial gain relationship for the optical source based on the estimated current value of the one or more operating metrics to determine an updated gain relationship for the optical source, the updated gain relationship relating the range of input values to a corresponding range of expected output values.

20070168494

11315692

1. A method for performance modeling for an information technology (IT) system having one or more servers for performing a number of types of transactions, comprising: receiving data for system topology and transaction flows; receiving performance measurement data for the IT system; clustering the performance measurement data into multiple regimes based on similarities; and inferring service demand and network delay parameters based on the clustered performance measurement data.

9646612

15288241

1. A computer-implemented method comprising: providing a first graphical user interface on a display of a computing device, wherein the first graphical user interface includes a prompt requesting that a user associates a user-provided hotword with an action; providing, in response to detecting a user-provided utterance in which the user associates a user-provided hotword with an action, a second graphical user interface on the display of the computing device, wherein the second graphical user interface includes a display of the proposed transcription of the detected user-provided utterance; and providing, in response to a confirmation that the proposed transcription is correct, a third graphical user interface on the display of the computing device, wherein the third graphical user interface includes a confirmation display of the transcription of the detected utterance.

20060206027

11371864

1. A computer-implemented method for assessing an injury to an athlete, the method comprising: receiving historical data associated with the athlete; receiving performance data from a functional assessment of the athlete wherein the functional assessment is designed based on at least one of a sport of the athlete, a position of the athlete, or the injury of the athlete; querying a data source for mined data associated with injuries similar to the injury being assessed; receiving the mined data as predictive data relevant to the injury; and analyzing at least one of the historical data, the performance data, the mined data, or the predictive data to produce a predictive analysis associated with the athlete.

20150131793

14502807

1. A method of assessing efficiency of agents in a contact center, comprising: monitoring, by a contact center management system implemented on one or more computer systems, activity of one or more agents who perform services at one or more contact centers; determining, by the contact center management system, based at least some of the activity, one or more measures of performance for at least one of the one or more agents, wherein at least one of the measures of performance for at least one of the agents comprises an occupancy, a utilization, an absentee rate, or a direct labor time per contact; and determining, by the contact center management system, based on at least one of the measures of performance, one or more statistical values for at least one of the agents.

20120016804

12926384

1. A carrier selection method for a logistics network, the logistics network comprising a plurality of carrier sets having a plurality of carriers, a start, a terminal and a plurality of routes between the start and the terminal, the routes formed as a plurality of minimal paths, wherein the carrier selection method is applied for finding an optimal carrier set with a maximal network reliability from the carrier sets, and comprises the steps of: choosing one of the carriers through each of the routes to form one of the carrier sets for transporting a transmission in the logistics network; distributing a demand of the transmission to the minimal paths, wherein each of the carriers has a plurality of cargo capacities and a maximal capacity; evaluating the network reliability for each of the carrier sets according to the demand, the cargo capacities and the maximal capacity; and executing a genetic algorithm to search for the optimal carrier set among the carrier sets, wherein the optimal carrier has the maximal network reliability.

20130185644

13876283

1. A network model integration device comprising: an input unit, a display unit, a storage unit, and a control unit, wherein the storage unit includes: a network model storage unit that stores a network model that includes nodes that represent constituent elements of a biological object and edges that represent interactions between the constituent elements and a network model ID that identifies the network model in association, and the control unit includes: a retrieving unit that, when the network model is designated by a user via the input unit, retrieves the edges that are stored in the network model storage unit, do not constitute a designated network model which is the network model, and are linked to the nodes that constitute the designated network model; and a retrieval result displaying unit that displays retrieval results including the edges retrieved by the retrieving unit and the network model ID that identifies the network model including the edges stored in the network model storage unit on the display unit in a selectable manner; an integrating unit that, when the retrieval results displayed on the display unit by the retrieval result displaying unit are selected by the user via the input unit, generates an integrated network model which is the network model in which the edges included in the selected retrieval results and the nodes that do not constitute the designated network model and are linked to the edges are integrated into the designated network model; and a network model storing unit that acquires the network model ID that identifies the integrated network model generated by the integrating unit and stores the integrated network model and the network model ID in the network model storage unit in association.

7908271

12548742

1. A system for detecting abnormal system states in computers, comprising: a plurality of software agents respectively residing on a plurality of computers within a population of computers, the software agents generating snapshots that include data indicating the state of the respective computers; and an analytic component operable to automatically generate an adaptive reference model comprising a rule set customized to characteristics of the population of computers, the rule set being developed by identifying patterns among the snapshots from the plurality of computers such that the adaptive reference model is indicative of normal states in the computers within the population, wherein the analytic component compares a snapshot from at least one of the computers to the adaptive reference model to determine whether an anomaly is present in the state of the least one of the computers.

8326795

12037258

1. A computer-implemented method comprising: receiving a user input at a computing device, the user input defining behavioral and static aspects of a target process artifact and comprising business process information for use in a specific business process model within an organization, the behavioral aspect comprising inputs for one or more behavioral reasoning processes comprising substitution, auto-completion, and deadlock/liveliness verification; automatically defining a query specification comprising: an axiom component expressing the static aspect using a logical expression, and a process definition component expressing the behavioral aspect using ontologized π-calculus; querying a process artifact library using the query specification, the process artifact library provided as a computer-readable repository that stores one or more of process patterns, models, fragments, and guidelines, the querying comprising: querying the process artifact library relating to the static aspect of the target process artifact to obtain a subset of the process artifact library; after querying, performing π-calculus reasoning, related to the behavioral aspect of the target process, on the subset of the process artifact library; and outputting a candidate process artifact matching the behavioral and static aspects, based on querying the process artifact library.

20140244551

13824122

1. An information spread scale prediction device which acquires text data from a specific website via the Internet, predicts number of future contributions made to the website based on the text data, and outputs a prediction result thereof, the information spread scale prediction device comprising: a learning text data input unit which acquires the text data from the specific website as learning text data; a node influence learning unit which classifies the learning text data by each topic, calculates influence for the number of contributions by each group to which a node indicating a specific user belongs for the topic from the number of contributions of each of the classified topics, and stores a result thereof as learning data to a storage module provided in advance; a prediction text data input unit which acquires the text data from the specific website as prediction data after storing the learning data; and a future contribution number prediction unit which classifies the prediction text data by each topic, predicts the number of contributions of the topics at a specific future time based on the number of contributions by each of the classified topics and the learning data, and outputs a result thereof to an output module provided in advance.

20130226848

13866379

1. A method comprising: determining a plurality of values, wherein assignment of any of the plurality of values to one or more constrained variables of a candidate solution causes the candidate solution to comply with a constraint condition of an optimization problem, wherein the candidate solution complies with the constraint condition prior to being mutated via a computer-based simulation that tests fitness of the candidate solution; after the candidate solution is mutated, determining that the candidate solution fails to comply with the constraint condition; and assigning at least one value, which is randomly selected from the plurality of values, to the one or more constrained variables of the candidate solution.

20090097117

12249876

1. A method for manufacturing a curved filter having a retardation axis in a desired orientation, the method comprising: providing a planar retarder film having an optical axis; providing a planar polarization film; predetermining an angle at which the planar retarder film would be laminated to the planar polarization film; laminating the planar retarder film and the planar polarization film at the predetermined angle; bending the laminated retarder and polarization films, whereby a stress is exerted on the retarder film, the stress causing a stress-induced birefringence in the retarder film; and wherein the predetermined angle substantially compensates for the stress-induced birefringence and allow the optical axis of the retarder film to be in the desired orientation.

20090177506

11969529

1. A method for forecasting aircraft fleet composition, aircraft retirements and fleet spares requirements, comprising: obtaining aircraft fleet data; obtaining data on independent variables; determining a cycle indicator; determining the operation type of the aircraft; estimating the model using the aircraft fleet data; examining and updating the model based on changes in the independent variables; and forecasting on a year-to-year basis by age and operation cohort.

20130174108

13343103

1. A method comprising: simulating, by a computer, an integrated circuit (IC) design on a simulation test bench, wherein the simulation test bench generates a simulation stimulus for the IC design based on a test bench environment that includes a plurality of independently controllable test bench parameters; recording simulation results; and automatically manipulating the test bench environment to change the simulation stimulus during subsequent simulations of the IC design based upon the simulation results.

9848089

14701235

1. A method to generate an overall performance index, the method comprising: accessing a first set of data values for wireless providers of interest from a first datasource, where the first set of data values indicate a first measure of a first aspect of network performance, the first datasource measures the first aspect of the network performance using a first specific collection method, the first specific collection method being drive test measurement; accessing a second set of data values for the wireless providers of interest from a second datasource, different from the first datasource, where the second set of data values indicate a second measure of the first aspect of network performance, the second datasource measures the first aspect of the network performance using a second specific collection method, different than the first specific collection method; generating a first metric from the first set of data values and a second metric from the second set of data values; generating a first indexed metric for the first metric using the first set of data values by: calculating a mean of the first set of data values; calculating a standard deviation of the first set of data values; subtracting the mean from the first metric to obtain a difference; dividing 20 by the standard deviation to obtain a quotient; multiplying the difference by the quotient to obtain a product; and adding 100 to the product; generating a second indexed metric for the second metric using the second set of data values; generating an overall performance index for the wireless providers of interest by combining the first and second indexed metrics; and generating a report showing the overall performance index for the wireless providers of interest, where the report identifies the relative performance between the wireless providers of interest and prioritizes elements of the network that need the most improvement.

20110069896

12834457

1. An image sorting apparatus comprising: an image inputting unit that inputs an image; a distribution function preparing unit that prepares a distribution function of pixel values of the image; a describing unit that performs series expansion on the distribution function by using base functions that form a complete set and are orthogonal to each other due to different weights in a distribution area and describing the distribution function by expansion coefficients, an evaluating unit that evaluates features of the shape of the distribution function based on the expansion coefficients, and a sorting unit that sorts the image to images of at least two categories based on results of the evaluation.

9589211

14707503

1. A method for segmenting a structure of interest in medical imaging data, comprising: generating a binary mask highlighting structures in medical imaging data, the highlighted structures comprising a connected component including a structure of interest; computing a probability map by classifying voxels in the highlighted structures using a trained classifier; performing a plurality of detaching operations on the highlighted structures to split the connected component into a plurality of detached connected components; determining an optimal detaching parameter representing a number of the detaching operations; and classifying a detached connected component resulting from performing the number of detaching operations corresponding to the optimal detaching parameter as the structure of interest based on the probability map and the trained classifier.

8917933

12936425

1. A system for segmenting an object in image data using model-based image segmentation, the system comprising a feature unit for identifying features in the image data for computing an external energy of a mesh on the basis of a current position of the mesh, wherein the feature unit further comprises: a candidate feature unit for selecting a plurality of candidate features in the image data, for identifying a feature to be included in the features identified in the image data; a position unit for determining a position of each candidate feature of the plurality of the candidate features relative to a region of the image data, wherein each of the candidate features is within the region; a feature value unit for computing a feature value of each of the candidate features; a feature function unit for computing a strength of each of the candidate features, wherein the strength of each of the candidate features depends on the feature value of the corresponding candidate feature and the ratio of the strength and the feature value of each of the candidate features depends on the position of the corresponding candidate feature relative to the region; and an evaluation unit for evaluating each of the candidate features of the plurality of candidate features and for identifying the feature to be included from among the plurality of candidate features based on this evaluation.

9729671

14875103

1. A process for performing computer log analysis, the process comprising: performing an analysis on existing program code that is executable on one or more computers forming part of a distributed computer system, the analysis identifying log output instructions present in the program code, the log output instructions being configured to generate log messages related to service requests processed by the program code; generating a log model using the analysis, the log model being representative of causal relationships among service requests defined by the program code; applying the log model to a plurality of log messages generated by execution of the program code to add log messages of the plurality of log messages into one or more groups; and applying of the log model at a plurality of nodes of the distributed computer system, the plurality of nodes being connected by a network, at least two nodes of the plurality of nodes combining groups of log messages locally without transmitting the log messages over the network before assigning shuffle keys to the groups of log messages and transmitting the groups of log messages over the network to one or more nodes of the plurality of nodes based on the assigned shuffle keys, the one or more nodes further combining received groups of log messages.

9753745

15239653

1. A method for optimizing a system function-flow of a system capable of performing at least one function and comprising a plurality of components by utilizing application programming interface (API) profiling, comprising: receiving a request to perform the at least one function of the system from a user; obtaining at least one component required to realize the at least one function requested by the user from the plurality of the components; providing a plurality of APIs to the at least one obtained component to choose from; profiling each of the plurality of APIs to get a performance score of each API; based on the profiled APIs, optimizing the system function-flow of the system; determining corresponding APIs for the optimized system function-flow; and performing the at least one function requested by the user based on the determined APIs.

20140101173

13726220

1. A method for providing information about a main knowledge stream, the method comprising: obtaining reference links representing reference relationships among reference documents in each of a plurality of documents stored in a database; determining one or more basic paths connecting the reference links; calculating probability values of the reference links by overlapping the determined basic paths; determining a first document from among the documents and an input reference link associated with the first document, and performing a Markov chain model using a probability value of the input reference link; and calculating information about a main knowledge stream associated with the first document using the result obtained by performing the Markov chain model.

20080306898

12218519

1. A system for classification of a test object, comprising: a machine-readable storage device storing a training set comprising a plurality of objects, each of the objects being assigned as a member of a class, collectively the objects in the training set comprising members of at least two classes; and a computer system coupled to the machine-readable storage device configured as a probabilistic classifier, the probabilistic classifier estimating the probability of the test object as being a member of each of the classes in the training set, wherein the probabilistic classifier estimates the probabilities with reference to the class assignments of objects in the training set which are neighbors to the test object within a defined region within the training set; and wherein the training set comprises objects being members of two classes, class 1 and class 2 , wherein classes 1 and 2 in the training set have N 1 and N 2 numbers of objects respectively, in the training set and wherein the computer system is programmed to determine the probability P(class 1 ) of the object being a member of class 1 according to the relation: P ( class 1 ) = k 1 + 1 k 1 + k 2 + 2 · F 1 2 ( 1 , k 2 + 1 ; k 1 + k 2 + 3 ; 1 - N 1 N 2 ). where 2 F 1 (1, k 2 +1; k 1 +k 2 +3; 1−N1/N2) is a calculation of the hypergeometric function 2 F 1 and where k 1 represents the number of neighbors of class 1 within the defined region and k 2 represents the number of neighbors in class 2 within the defined region.

20140032463

14044729

1. A method of fast neural network training for library-based critical dimension (CD) metrology, the method comprising: providing a training target for a first neural network; training the first neural network, the training comprising starting with a first number of neurons and iteratively increasing the number of neurons until the training target is reached using a second, larger, number of neurons; generating a second neural network based on the training and the second number of neurons; and providing a spectral library based on the second neural network.

9760349

15347355

1. A method comprising: determining, by a processing device, a plurality of dependencies associated with source code for software, a dependency being a segment of program code that is separate from the source code and to be incorporated into the source code for providing the software with particular functionality; categorizing, by the processing device, the plurality of dependencies into a plurality of categories, each dependency of the plurality of dependencies being categorized as at least one of (i) an essential dependency that is necessary to create executable code from the source code, (ii) a nonessential dependency that is unnecessary to create the executable code from the source code, or (iii) an expiring dependency for which there is a newer version of the dependency available that is incompatible with the source code, wherein at least one dependency in the plurality of dependencies is categorized as the essential dependency by: generating a modified version of the source code by removing a reference to the at least one dependency from the source code, and based on a compiler being unable to create the executable code from the modified version of the source code, determining that the at least one dependency is to be categorized as the essential dependency; and sorting, by the processing device, the plurality of dependencies based on the plurality of categories.

20140042670

13962607

1. A method comprising: providing a photo booth including a three-dimensional scanner; associating a user identifier and a user with a subject; capturing a scan of the subject in the photo booth with the three-dimensional scanner; processing the scan to obtain a three-dimensional model of the subject; receiving a user customization of the three-dimensional model, the user customization resulting in a modification of the three-dimensional model; creating a fabrication-ready digital model of the three-dimensional model including the modification; and storing the fabrication-ready digital model.

8532229

12461748

1. A method of decoding a coded signal that is encoded in accordance with at least two component codes, to include a first component code (CC 1 ) and a second component code (CC 2 ), comprising: receiving a communication signal representative of the coded signal, and decoding the communication signal to determine an initial CC 1 decoded sequence and a corresponding initially inherently assumed CC 2 decoded sequence that is inherently assumed in accordance with a sequence of minimum CC 1 branch metrics that identify corresponding elements of the initially inherently assumed CC 2 decoded sequence; performing an iteration thread starting with the initial CC 1 decoded sequence and the initially inherently assumed CC 2 decoded sequence and stopping the iteration thread when: (i) an inherently-assumed CC 2 decoded sequence is substantially equal to a first-computed CC 2 decoded sequence, (ii) a previously-computed CC 1 decoded sequence is substantially equal to a next-computed CC 1 decoded sequence, and (iii) when a previously-computed CC 2 decoded sequence is substantially equal to a next-computed CC 2 decoded sequence; making available a decoder output sequence that includes at least a CC 1 decoded sequence and a CC 2 decoded sequence that are substantially equal to a most-recently-computed CC 1 decoded sequence and a most-recently-computed CC 2 decoded sequence as computed just prior to the stopping condition being met.

6083723

09340250

1. A vector comprising a nucleotide sequence that comprises in the 5' to 3' direction and operably linked (a) a yeast-recognized transcription and translation initiation region, (b) a coding sequence for a hybrid precursor polypeptide, and (c) a yeast-recognized transcription and translation termination region, wherein said hybrid precursor polypeptide comprises: EQU 5'-SP-(PS).sub.n-1 -(LP-PS).sub.n-2 -(NPRO.sub.MHP -PS).sub.n-3 -MHP-(PS-CPRO.sub.MHP).sub.n-4 -3' wherein: SP comprises a signal peptide sequence for a yeast secreted protein; PS comprises a preferred processing site cleaved in vivo by a yeast proteolytic enzyme; LP comprises a leader peptide sequence for a yeast secreted protein; NPRO.sub.MHP comprises a native N-terminal propeptide sequence of a mature heterologous mammalian protein of interest; MHP comprises a peptide sequence for said mature heterologous mammalian protein of interest; CPRO.sub.MHP comprises a native C-terminal propeptide sequence of said mature heterologous mammalian protein of interest; and n-1, n-2, n-3, and n-4 independently=0 or 1; wherein said mammalian protein is a variant PDGF-BB protein, said variant having an amino acid sequence that has at least about 90% sequence identity to the amino acid sequence of a native PDGF-BB protein, wherein said processing sites allow for proteolytic processing of said precursor polypeptide to said mature protein in vivo by a yeast host cell, and wherein at least n-3 or n-4=1.

10162850

15949905

1. A method for managing documents over a network using one or more processors that execute instructions to perform actions, comprising: instantiating a document engine to identify one or more clauses of natural language words in a document, wherein the document is associated with one or more document types, and wherein the one or more clauses are included in a data object as one or more self-referential records to improve the performance of computing resources employed to execute the instructions; and instantiating a validation engine to perform actions, including: providing one or more evaluations for the one or more clauses based on one or more evaluators and one or more machine learning (ML) models, wherein the one or more evaluations are employed to assign each of the clauses to one of a plurality of categories, and wherein each of the one or more clauses is associated with a confidence score based on the one or more evaluations; providing one or more semantic evaluators based on the one or more document types; assigning the category and the confidence score to the one or more clauses based on the one or more evaluations performed by one or more of textual evaluators or the semantic evaluators; determining the one or more ML models based on the category assigned to the one or more clauses; classifying the one or more clauses based on the one or more ML models; employing a result of the classification to modify the confidence score associated with the one or more clauses; monitoring one or more actions associated with the one or more clauses, wherein the one or more actions include one or more updates to content of the one or more clauses; and identifying one or more inconsistent evaluations, wherein the inconsistent evaluations identify the one or more clauses that have a confidence score that exceeds a pre-determined high threshold value and also a quantity of content updates that exceeds another pre-determined high threshold value; and instantiating a machine learning (ML) engine to perform actions including: retraining a portion of the one or more ML models based on the updated content of the one or more clauses associated with the inconsistent evaluations, wherein the retrained portion of the one or more ML models increases one or more confidence scores associated with each of the one or more clauses that already include content that is equivalent to the content updates of the one or more clauses associated with the inconsistent evaluations, and wherein the retrained portion of the one or more ML models decreases one or more confidence scores associated with the one or more clauses associated with the one or more inconsistent evaluations.

8700640

13542795

1. A method for identifying influential users among a group of users associated with a communication network, the method comprising: selecting two or more ranking models and providing scores to the users in the group using said ranking models based on usage data of the users; calculating a weighing factor for each of the selected ranking models; generating an aggregate score for each user using the weighing factor and the score provided by each one of the selected ranking models; and identifying the influential users based on the aggregate score among the group of users by comparing the aggregate score with a predefined score.

9305205

14176436

1. A method of tracking one or more worms, the method being implemented by a computer-based worm-tracking system and comprising: receiving a plurality of frames of a video containing one or more worms; displaying, sequentially on an electronic display, the plurality of frames of the video; calculating, periodically using information in ones of the plurality of frames of the video, tracking information for one or more of the worms so as to create one or more tracked worms, wherein said calculating tracking information includes: estimating a shape of each tracked worm using a geometric model that includes shape elasticity that accounts for changes in worm length among the ones of the plurality of frames; and estimating the location and configuration of each tracked worm by applying a midpoint radial shift operator that compensates for cumulative radial positioning error at a central location of each tracked worm among the ones of the plurality of frames; and displaying the tracking information overlaid correspondingly onto the ones of the plurality of frames displayed sequentially on the video display.

20070132763

11634996

1. A method for creating a 3-D curved surface by using corresponding curves in a plurality of images, the method comprising: (a) performing an NURBS (non-uniform rational b-splines) fitting curve with respect to one image in a plurality of images having camera calibration by capturing the same subject in respectively different positions, and simultaneously using control points designated in a curve characterizing a subject shape; (b) performing a fitting curve with respect to subjects of the images except for the one image by using the control points and a camera calibration information of a corresponding image; and (c) creating a curved surface by designating a 3-D curve created in the subject of each of the images.

20070142713

11304366

1. A method in a computerized environment for determining a discharge workload score for a patient, the method comprising: receiving a first discharge data element for a patient; assigning a first value to the first discharge data element; receiving a second discharge data element for the patient; assigning a second value to the second discharge data element; and utilizing the first and second values to determine a discharge workload score for the patient.

7609262

11302686

1. A computer based method for optimizing a design using free form deformation, comprising: determining a transformation function the free form deformation, using the computer, wherein the transformation function is defined by spline function that transforms a first space in which the design is defined into a second space in which a modified design is defined, wherein a parameter of the spline function determines a parameter of the transformation function; and modifying the design using the transformation function for the free form deformation, wherein the free form deformation is used as a representation for evolutionary computation; wherein the parameter of the spline function defines a parameter of an evolutionary optimization algorithm; wherein a mutation operator of the evolutionary computation acts directly on the representation of the design us the second space in order to introduce or delete control points of the spline function defining the transformation function transforming the spline; wherein the introduction or deletion of control points of the spline function that defines the transformation function transforming the spline does not require altering a shape of the design.

10114612

15784612

1. A method comprising: constructing, via a processor device, a media interconnection graph which models how media are interconnected by connecting disparate categories of the media; normalizing the media interconnection graph, to yield a normalized graph; generating, via the processor device, a speech recognition model based on the normalized graph; and receiving audible speech via a microphone to yield received audible speech for searching media content; converting, via the processor device, the received audible speech to output a graph using the speech recognition model.

20020111697

10073628

1. A method for minimizing total cost of interaction among components of a computer program, each of said components being characterized by at least one implementation property, said method comprising the steps of: a) carrying out at least a partial run of said program; b) monitoring said at least partial run of the program to measure an amount of interaction between each pair of components; c) determining a cost of interaction between each pair of interacting components; d) determining a choice of implementation properties which minimizes total cost of said at least partial run; e) assigning said choice of said implementation properties to said components for a subsequent at least partial run of said program.

20180372898

16119863

1. A computer system, comprising: at least one computer interoperably coupled with a memory storage and configured to: selecting plural attributes for annotating images generated from, and for interpretation of, seismic amplitude volume; generating plural images from a set of layers of a seismic cube, each image generated using a different attribute of the plural attributes; blending the plural images, using customized palettes and initial parameters for each of the plural images, the blending creating a blended image that illuminates discontinuities in the set of layers; iteratively determining optimal parameters for automatic derivation of fault discontinuities on an interpreter-selected edge-enhanced sub-volume, wherein iterations are controlled and terminated based on inputs from an interpreter; applying the optimal extraction parameters to an entire edge-enhanced volume; isolating important extracted fault discontinuities using commercial filtering tools; refining extracted fault patches based on received manual interpretation from the interpreter; and converting patch results to traditional fault objects for further interpretation and refinement.

7791495

12033476

1. An employee location monitoring system in a service establishment; said system comprising: a central unit a plurality of employee units; said employee units adapted to transmit and receive signals and display information from a received signal; a plurality of proximity detectors located throughout said establishment; said proximity detectors determining when an employee unit is within a predetermined distance of said proximity detector; one of said employee units and said proximity detector transmitting a location signal when said employee unit is within a predetermined distance of said proximity detector; said location signal containing information indicative of the location of the employee unit within the identification of the employee unit that was detected; means for time stamping said location signal; and means for recording said location signal information.

20040148264

10352037

1. A method of controlling liquid production within a plurality of air separation plants to produce and distribute liquid to a plurality of customers; said method comprising: obtaining demand data of liquid product demand and gaseous product demand for each of said customers over prespecified time intervals within a forecast period; inputting said demand data and said current atmospheric temperature, pressure, and humidity data into a real time planing system programmed with model programs and a real time optimization program; said model programs including: plant model programs to calculate electrical power data needed for each of said air separation plants to produce gaseous and liquid product slates from said air separation plants and containing production constraints for each of said air separation plants that limit the production of gaseous and liquid products therefrom; power contract model programs responsive to the electrical power data to calculate cost data to produce the gaseous and liquid product slates for each of the air separation plants; and liquid distribution cost model programs containing cost shipment data referable to road shipping costs of liquid products from each of said sites to individual or groupings of said customers to calculate transportation costs to distribute the liquid products to each of said customers within the groupings of said customers; and liquid storage constraints for each of said sites; executing said model programs and said real time optimization program over said prespecified time intervals to obtain solutions from said real time optimization program through mixed integer nonlinear optimization of optimized gaseous and liquid product slates for each of said air separation plants for each of said prespecified time intervals over the forecast period in which a total of said cost of the electrical power and said liquid distribution costs over the forecast period are at a minimum while requirements for gaseous production are met as a hard constraint; and implementing said optimized gaseous and liquid product slates by controlling the air separation plants to produce gaseous and liquid products in accordance with the optimized gaseous and liquid product slates.

8577926

12547795

1. One or more non-transitory computer-readable storage media to store instructions, the instructions comprising: one or more instructions that when executed by processing logic of a computer, cause the processing logic to: identify one or more changes to a first executable model, the first executable model including: a first operation, and a first connection to receive a first input to the first operation or to provide a first output from the first operation, the one or more changes to the first executable model including a change to at least one of the first operation, the first connection, the first input, or the first output; maintain first change information about the one or more changes to the first executable model, the first change information including data identifying the change to the at least one of the first operation, the first connection, the first input, or the first output; process a second executable model that references the first executable model, the second executable model including: a second operation, and a second connection to receive a second input to the second operation or to provide a second output from the second operation, and the one or more instructions to process the second executable model including: one or more instructions that, when executed by the processing logic, cause the processing logic to make one or more changes to the second executable model based on the first change information, the one or more changes to the second executable model including a change to at least one of the second operation, the second connection, the second input, or the second output; maintain second change information identifying the one or more changes to the second executable model; receive, after processing the second executable model, a request to undo a change of the one or more changes to the first executable model; undo, based on the request, the change to the first executable model using the first change information; and undo, using the second change information, a change, of the one or more changes to the second executable model, based on undoing the change to the first executable model.

9364624

13313128

1. A method for improving an accuracy of estimating an exhalation volume while ventilating a patient with a ventilator, the ventilator comprising at least one processor and at least one memory, the method comprising: determining, by the ventilator, an initial base flow to improve the accuracy of estimating the exhalation volume; determining, by the ventilator, an initial inspiration trigger threshold to prevent false triggering while base flow is changing; delivering the initial base flow during at least a first portion of exhalation while setting the inspiration trigger threshold to the initial inspiration trigger threshold; determining, by the ventilator, a desired base flow; determining, by the ventilator, a desired inspiration trigger threshold; increasing base flow from the initial base flow toward the desired base flow during at least a second portion of exhalation; decreasing the inspiration trigger threshold from the initial inspiration trigger threshold toward the desired inspiration trigger threshold while performing the step of increasing the base flow; and increasing a sensitivity to a patient initiated trigger during at least the second portion of exhalation while performing the steps of increasing the base flow and decreasing the inspiration trigger threshold.

8781875

13925103

1. A method of optimizing one or more of search engine-based advertising, on-line display advertising, and/or television (TV) advertising, the method comprising: providing for a seller/advertiser, an automated, adaptive computer engine (seller automated engine, or SAEJ) capable of optimizing one or more seller targets in real-time; evaluating in real-time, within the SAEJ, the seller's advertising options in the context of one or more of current cost-per-click (CPC), of current cost per thousand impressions (CPM), of the status of said targets, and/or of the current market conditions; computing in real-time one or more bids, taking into consideration one or more of the expense associated with each bid, the current status of said targets, and/or the requisite product and/or service pricing needed to optimize said targets; and automatically allocating advertising selections.

20130089011

13646839

1 ) A method using a Media Access Control message framing protocol having super frames and mobile nodes to create a cognitive mobile time division duplex Ad-Hoc network for sending message packets from originating mobile nodes to message packet destination mobile nodes comprising: first, said Media Access Control message framing protocol super frame being divided into two frames times wherein a first frame time can operate in a master mode while a second frame time can operate in a slave mode; and, then, wherein each of said frame times can operate on different channels and the order of transmit and receive timeslots of said first frame time and said second frame time can be dynamically changed.

7849398

11789823

1. A method for selecting fields of an electronic form for automatic population with candidate text segments that are obtained by capturing an image of a document, applying optical character recognition to the captured image to identify textual content, and tagging candidate text segments in the textual content for fields of the form, the method comprising: for each of a plurality of fields of an electronic form, estimating a manual entry time and a manual correction time for the field, wherein the estimated manual entry time is an estimated time period for a user to enter a text segment into the field without automatic population and the estimated manual correction time is an estimated time period for a user to correct a text segment in the field after automatic population; computing a field exclusion function based on the estimated manual entry time and the estimated manual correction time, the computation of the field exclusion function further based on at least one parameter selected from: a text length parameter, an optical character recognition error rate, a computed tagging error rate, and a field relevance parameter which has been assigned to a respective field; and determining whether to select the field for automatic population based on the computed field exclusion function.

8244563

11932297

1. A computer-implemented method for evaluating a real estate appraisal, comprising the steps of: extracting data from the appraisal; in a computer processor or microprocessor, evaluating the extracted data against a plurality of rules applicable to the type of appraisal, wherein each rule is assigned a particular weight; and automatically calculating in a computer processor or microprocessor an appraisal score based on the evaluation, wherein the appraisal score is calculated by summing the total of each rule that is triggered multiplied by the weight assigned to that rule, according to the following formula: Score = K 1 + ⅇ ∑ j = 1 N ⁢ ⁢ w jj ⁢ r j Γ where N rules are evaluated, K is a constant, Γ is a constant, w is the weight of a rule, and r is a variable that defaults to 0 but takes on the value 1 if the rule triggers or fires.

8442667

12032733

1. A method comprising: connecting a plurality of nodes into a neural network, each one of the nodes represented by a programming object; defining a condition for cloning one of the plurality of nodes into a second plurality of child nodes where the one of the plurality of nodes is configured to autonomously clone and remove child nodes and the condition includes a recognition that the one of the plurality of nodes is of insufficient complexity to process inputs; and when the condition is met, autonomously cloning the one of the plurality of nodes into two or more child nodes.

20040120331

10327356

1. A method for creating a network farm from a tree topology network, comprising: receiving a logical specification of said farm, said logical specification specifying at least one of device types required by said farm and a number of devices for each of said device types; receiving a communication model for said farm, said communication model specifying expected bandwidth usage for devices of said farm; and ascertaining, responsive to said logical specification and said communication model, a solution set of devices among devices of said tree topology network for constructing said farm, said ascertaining including performing partitioned greedy recursion on switching elements of said tree topology network, said partitioned greedy recursion includes recursively ascertaining, starting from the top level of said tree topology network and recursing toward the lowest switching element level of said tree topology network, the lowest cost solution at each switching element level of said tree topology network, wherein the lowest cost solution that completely satisfies resource requirements of said farm and that is found after said tree topology network is traversed by said partitioned greedy recursion is deemed said solution set of devices.

20130028036

13189675

1. A method of testing cell strength for a solid-state memory comprised of a population of memory cells, the method comprising: performing a functional test of the population of memory cells at a first bias voltage level corresponding to a nominal voltage limit modified by a first guardband voltage; responsive to at least one memory cell of the population of memory cells failing the functional test at the first bias voltage level, performing a functional test of one or more memory cells including the failing memory cell at a second bias voltage level, for a first plurality of repetitions, the second bias voltage level corresponding to the nominal voltage limit modified by a second guardband voltage that is less severe than the first guardband voltage; and responsive to none of the one or more memory cells failing the functional test at the second bias voltage level for any of the first plurality of repetitions, identifying the memory as passing the cell strength test.

8463591

12846741

1. A computer-implemented method, comprising: receiving, in a computing system comprising one or more computers, original training data including a plurality of training feature vectors and a respective decision for each training feature vector, each training feature vector representing a parse state of a parser, each element of each training feature vector indicating a presence or absence of a feature of the parse state, the parser constructing a dependency graph for a sentence having words and punctuation, the parser input comprising tokens corresponding to the words and punctuation of the sentence; generating, by the computing system, for each training feature vector, a condensed representation of a mapped vector corresponding to a degree-d polynomial mapping of the training feature vector, the mapping defining each component of the mapped vector as either a single element of the training feature vector or a product of up to d elements of the training feature vector, the condensed representation of the mapped vector including an index for each non-zero component of the mapped vector, each index indicating a position in a weight vector of a weight for the corresponding non-zero mapped vector component; and using a linear support vector machine to train a classifier on the condensed representations, the linear support vector machine configured to receive as training data the condensed representations and decisions for the training feature vectors corresponding to the condensed representations, and determine the weights in the weight vector from the condensed training data, where the classifier corresponds to a given parsing transition and uses the weight vector that was trained for the given parsing transition to generate a score for the given parsing transition, where the score for the given parsing transition is used to determine whether to perform the given parsing transition in building a dependency graph, the dependency graph representing syntactic modifiers for words in the sentence through labeled directed edges.

20030005258

09813896

1. A method for evaluating and outputting a final clustering solution for a plurality of multi-dimensional data records, said data records having multiple, heterogeneous feature spaces represented by feature vectors, said method comprising: defining a distortion between two feature vectors as a weighted sum of distortion measures on components of said feature vector; clustering said multi-dimensional data records into k-clusters using a “convex programming” formulation; and selecting feature weights of said feature vectors.

20160086082

14490010

1. A method comprising: extracting a first data set from a knowledge base; determining a first community rating based, at least in part, on the first data set; extracting a second data set from the knowledge base; determining a second community rating based, at least in part, on the second data set; and forecasting a third community rating based, at least in part, on the first and second community ratings; wherein: the knowledge base includes a collected data set from one of a free public access website and a subscription-based information service; the first community rating is representative of the current community data; the second community rating is representative of the historical community data; the third community rating is based on forecasted community data; the first data set includes data defining a first attribute for a first time period; and the second data set includes data defining to a first attribute for a second time period.

10140572

14750277

1. A method of performing neural network processes, the method comprising: receiving, at a set of N input buffers, a batch of input data for accelerated processing of a neural network evaluation, wherein each input buffer provides a queue with a queue depth of at least two, where N is a number of available parallel streams of a field programmable gate array (FPGA), wherein the batch of input data comprises at least two observation vectors, one of the at least two observation vectors being loaded at a first position in the queue of the set of N input buffers and a second of the at least two observation vectors being loaded at a second position in the queue of the set of N input buffers; loading the FPGA with a first layer set of weights for the neural network evaluation from an external memory; and applying, within the FPGA, the first layer set of weights to the batch of the input data to generate intermediates, wherein while the one of the observation vectors is being processed, the second of the observation vectors moves from the second position to the first position in the queue of the input buffers and the intermediates generated from the one of the observation vectors at the first position in the queue are re-queued for next layer processing; and wherein after the second of the at least two feature vectors is processed, the intermediates generated from the second of the observation vectors are re-queued for the next layer processing.

6167377

08825535

1. A method of speech recognition using multiple language models, the method comprising: receiving language model results for speech recognition candidates for an utterance from multiple language models; combining the results from the multiple language models according to a combination expression to produce combined language model results, the combination expression applying different combination weights to the results received from the respective language models; selecting one of the candidates selecting based on the combined language model results; adjusting at least one of the combination expression weights based on the selected candidate; and repeating the combining, selecting, and adjusting for a subsequent utterance.

8463608

13417824

1. A method for updating a first speech model in a speech recognition system, comprising: receiving from a user device of a user, the user device comprising a personal speech model trained for the user through previous speech recognition operations, one or more personal speech model components of the personal speech model trained for the user through previous speech recognition operations, the one or more personal speech model components describing personal speech characteristics of the user; updating the first speech model using at least some of the one or more personal speech model components, by modifying at least one speech model component of the first speech model and/or adding at least one speech model component to the first speech model; and performing speech recognition on user speech using the first speech model updated with the at least some of the one or more personal speech model components.

20140205204

14155368

1. A method for image fusion, comprising: obtaining multiple images for a same scene; and calculating a fused image of the multiple images based on Bayes analysis by using a kernel function.

20130117727

13724465

1. (canceled)

20130274928

13828767

1. A method for promoting energy efficiency in association with an HVAC system of a climate controlled enclosure, the HVAC system being controlled by a network-connected thermostat having a user interface controllable by a user, the method comprising: receiving a first HVAC schedule comprising a plurality of setpoints, each setpoint comprising an indication of a setpoint time and a setpoint temperature for the climate controlled enclosure; operating, over a period of time, the HVAC system according to the first HVAC schedule; measuring, over said period of time, an actual ambient temperature in the climate controlled enclosure; receiving an update corresponding to at least one of: a real-time setpoint change, a schedule change, and an occupancy profile, wherein the real-time setpoint change comprises a desired temperature for immediate implementation entered by the user using the user interface during the period of time, wherein the schedule change comprises at least one of (i) a change to the setpoint temperature or setpoint time of one or more setpoints of said first HVAC schedule, (ii) the removal of the one or more setpoints from the first HVAC schedule, and (iii) the addition of one or more new setpoints to the first HVAC schedule, and wherein the occupancy profile comprises indications over said period of time of whether one or more occupants is present in the climate controlled enclosure; processing said received update in conjunction with said first HVAC schedule to generate a second HVAC schedule representative of what would have been generated by a first automated schedule learning algorithm operating over said period of time; subsequent to said period of time, generating a cost difference indicator corresponding to a cost difference between an actual cost of operating the HVAC system according to the first HVAC schedule over said period of time and a hypothetical cost of operating the HVAC system according to the second HVAC schedule over said period of time and displaying said cost difference indicator to the user using said user interface.

20140006316

14014063

1. A networked computer system comprising a first client computer, the first client computer comprising: a memory operative to store N genes, each gene characterized by a plurality of conditions and at least one action, wherein N is an integer greater than one; a communication port through which the first client computer recurrently receives data samples; and a processor operative to evaluate a performance characteristic of each of the N genes by evaluating each gene against the recurrently received data samples, the performance characteristic of each gene being adjusted with each recurrently received data sample and indicating a fitness of the gene.

9157855

14020515

1. A method of classifying the material type of an unknown material into a probability distribution of multiple predetermined material types by using a collection of plural predetermined material classifiers, wherein each material type of the multiple predetermined material types is associated with a corresponding best performing classifier from the collection of plural predetermined material classifiers by a predesignated stored association, the method comprising the steps of: applying, using a processor, the plural material classifiers to the unknown material to obtain a list of candidate material types; looking up, using the processor, a list of potential best performing classifiers using the list of candidate material types as a reference into the predesignated stored association; and assigning, using the processor, a respective probability that the unknown material belongs to a material type based on the list of potential best performing classifiers, wherein applying comprises obtaining one or more feature vectors for the unknown material and inputting a corresponding one of the feature vectors into each of the plural material classifiers so as to obtain an output representative of material type from each of the plural material classifiers.

9317115

14878540

1. A computer-based engineering knowledge acquisition system, comprising: a digital processor supporting a user-interactive training material associated with a respective domain that includes at least one diagram; a display monitor coupled to the processor and rendering to an acquirer-user at least one screen view of the user-interactive training material, the at least one screen view having any of text and graphics in a certain locational arrangement relative to graphical content; and an eye-tracking member coupled to the processor, the eye-tracking member (i) tracking eye movement of the acquirer-user viewing the at least one screen view, and (ii) detecting eye traces of the acquirer-user for the at least one screen view; in response to the detected eye traces, the processor generating a summary of knowledge acquisition patterns of the acquirer-user and assessing whether the acquirer-user has missed viewing one or more regions of the at least one diagram; and a rules engine coupled to the processor, the rules engine performing an evaluation of the acquirer-user's viewing of the at least one screen view based upon the detected eye traces and the generated summary of knowledge acquisition patterns, and the rules engine providing one or more metrics as real-time feedback to a user, the processor comparing the detected eye traces of the acquirer-user to an optimal (learning) acquisition pattern predefined for the at least one screen view, and based on the comparison, the processor determining need to assist the acquirer-user with one or more of the text content and the graphical content of the at least one screen view, and the processor providing a tutorial supplement to the acquirer-user, wherein the display monitor further displays the tutorial supplement at least in the at least one screen view.

8484249

13235043

1. A computer-implemented method for managing a data center, the computer-implemented method comprising: receiving, by a data management system including a data server, an indication of a violation of a service-level objective associated with the data center; retrieving, by the data management system, a graph representation and a transformations data container from data storage accessible to the data management system, the transformations data container including one or more transformations; for each transformation in the transformations data container, processing, by the data management system, the transformation to create a mutated graph from the graph representation; and determining, by the data management system, an option for managing the data center as a result of evaluating the mutated graphs.

7596247

10734258

1. A method for automatically recognizing or verifying objects in a digital image, said method comprising: accessing digital image data containing an object of interest therein; using at least one processor for detecting an object of interest in said digital image data of interest in said digital image data; normalizing said object of interest to generate a normalized object representation; extracting a plurality of features from said normalized object representation; and applying each extracted feature to a previously-determined additive probability model to determine the likelihood that the object of interest belongs to an existing class of objects, wherein said additive probability model models the objects using a class center and residual components between the objects and the class center, wherein an uncertainty related to the class center is represented by a model associated with the class center, wherein said object of interest is a face and said step of detecting the object of interest detects facial features in said digital image data.

20050216207

10809608

1. A method of normalizing genetic data for n loci, wherein n is an integer greater than one, comprising (a) obtaining genetic data comprising n sets of first and second signal values related in a coordinate system, wherein said first and second signal values are indicative of the levels of a first and second allele, respectively, at n loci; (b) identifying a set of sweep points in said coordinate system; (c) identifying a set of control points, said control points comprising at least a subset of said signal values that are proximal to said sweep points; (d) protecting said control points to a line or curve passing through said sweep points, thereby forming set points; (e) determining parameters of a registration transformation equation based on said set of control points and said set points; and (f) transforming said n sets of first and second signal values according to said registration transformation equation and said parameters, thereby normalizing said genetic data.

20160045153

14925675

1. A method for informing a user of an intoxication state, comprising: Upon receiving an input from the user at a wrist-borne mobile computing device associated with the user, prompting a user to provide a breath sample to a sample receiving module at a first time point; at a processing subsystem in communication with the sample receiving module, receiving a breath sample signal derived from the breath sample; at the processing subsystem, determining a value of a blood alcohol content (BAC) metric from the breath sample signal; at the processing subsystem, generating a predicted temporal profile of the BAC metric for the user over time, based upon the value of the BAC metric and the first time point; and transmitting commands, from the processing subsystem to the wrist-borne mobile computing device, that prompt the wrist-borne mobile computing device to display information from an analysis derived from the predicted temporal profile at a display of the wrist-borne mobile computing device, thus informing the user of the intoxication state.

9087116

13711344

1. A method comprising: receiving a request to extract data from a subset of a multidimensional database that stores data at a plurality of cells, wherein the subset has a plurality of dimension members, and each dimension member of the plurality of dimension members belongs to a dimension of a plurality of dimensions of the multidimensional database; determining, from the subset, a reduced subset by excluding a plurality of empty cells from the subset, wherein determining the reduced subset comprises: identifying all top-level members from a plurality of dimension members that define the subset, wherein values of the top-level members do not roll up into a value of any ancestor member from the plurality of dimension members; extracting at least one data value from at least one high-level cell located by at least one of the top-level members and a group of dimension members from the plurality of dimension members; and responsive to determining that the at least one data value is an empty data value, determining, from the subset, a reduced subset by excluding roll-up cells of the at least one high-level cell from the reduced subset, wherein each of the roll-up cells is located by a descendent member of the at least one of the top-level members and the group of dimension members; and satisfying the request by extracting data values from only the reduced subset and without extracting data values from the excluded roll-up cells.

9449096

14149422

1. A method for determining social media influencers in a specific topic, the method comprising: receiving, by a processor, a dataset of information associated with a website, the information including a first list of users of the website and a list of content that each user posts on the website, wherein each user is associated with one or more other users from the first list of users; determining, by a processor, initial values representing variables of the dataset of information on the website, wherein the variables include one or more topics for the list of content that each user from the first list of users posts on the website; performing, by a processor, one or more iterations of Gibbs Sampling utilizing the initial values, wherein performing each of the one or more iterations assigns new values representing variables of the dataset; determining, by a processor, that the one or more new values representing variables of the dataset represent a distribution of the one or more topics for the list of content that each user from the first list of users posts; executing, by a processor, a topic specific search in a topic search engine based on the distribution of the one or more topics for the list of content that each user from the first list of users posts, the topic search providing a subset list of the first list of users representing influencers in a specific topic; identifying, by a processor, one or more topics in the list of content that each user of the first list of users posts on the website; determining, by a processor, the one or more topics do not exist in the topic search engine; creating, by a processor, the one or more topics in the topic search engine; identifying, by a processors, a list of keywords in the list of content that each user from the first list of users posts on the website; and consolidating, by a processor, the list of keywords.

9055431

13938655

1. A method of using a computer to detect anomalies in the data traffic of a mobile device, the computer performing the steps of: collecting from the mobile device, usage data relating to data usage for the mobile device for a given time period; setting threshold values based at least in part on a mobile device data plan and an amount of data used by the mobile device within a set time period and on historical usage data of the mobile device, where the weighting afforded the historical usage data is related to the amount of stored history; comparing the usage data against the threshold values; identifying an anomaly if a statistic of the usage data exceeds a corresponding threshold of the threshold values; updating the threshold values based on a running average of each statistic of the usage data; the computer further performing the steps of: saving existing usage data or predicted data or both; generating a graphical user interface including at least one statistic of the usage data; overlaying at least one statistic of the existing usage data or predicted data or both onto the at least one statistic of the usage data.

20110137919

12877063

1. A method for stabilizing a knowledge graph, comprising: generating a knowledge graph in which same entities in a semantic relation list between entities provided as an input are represented as a single node based on names and types of the entities; computing, on the knowledge graph, semantic similarities between all potential entity pairs of same entity types by comparing, for each potential entity pair, a type of relation associated with an entity in the entity pair and an opponent entity to the entity; selecting, based on the semantic similarities, a representative entity from each of semantically similar entity pairs on the knowledge graph and integrating an opponent entity to the representative entity into the representative entity; and computing relation weighted values between the entities by using a graph analysis and statistic information, and adding the weighted values to the knowledge graph.

8209481

13024086

1. A system of retrieving documents comprising the steps of: coding a plurality of stored documents as respective document feature vector; generating a query feature vector based on a query document; and performing one or more logical operations between the query feature vector and said document feature vector to obtain respective similarity measures.

9223031

13343541

1. A photosensor-based radiation detection system, comprising: a detector having a plurality of photosensors therein, each photosensor being connected to analog-to-digital (ADC) circuitry, the ADC circuitry digitizing analog signals output by the photosensors to generate corresponding digital signals; and a processing unit implemented by circuitry and configured to determine a prototype function by a determination procedure, and determine an arrival time and an amplitude of each of the digital signals by fitting the digital signals to a prototype waveform, derived from the prototype function, the fitting including applying a weighting function that assigns varying importance to different times within the prototype waveform, wherein the determination procedure includes generating an initial estimate for the prototype function, iteratively varying the prototype function, calculating a timing resolution value of arrival time differences, and determining the prototype waveform by selecting an iteration having a timing resolution value of arrival time differences that falls within a predetermined range.

20080027684

11165319

1. A method for building a computer model of a longitudinal structure using a graphical user interface display, comprising: providing a catalog of subassemblies, wherein each subassembly is represented as a data component that stores modifiable parameters, and a logic component that generates a parameter-specific geometry of the subassembly for use in a cross-section of the model; executing the logic component, for a subassembly selected from the catalog, to generate the parameter-specific geometry for the subassembly; and integrating the subassembly into the cross-section of the model, based on the parameter-specific geometry.

8750375

12819183

1. A computer program product for echocardiogram view classification, the computer program product comprising a non-transitory computer readable storage medium having computer readable program code executable by a computer device to perform a method comprising: obtaining a plurality of video images of a subject; aligning the plurality of images; using the aligned images to generate a motion magnitude image; filtering the motion magnitude image using an edge map; detecting features on the motion magnitude image, discarding those features which do not lie in the neighborhood of edges; encoding the remaining features by: generating, x, y image coordinates for a feature point; generating a motion magnitude histogram in a window around the feature point; and generating a histogram of edge intensity values near the feature point; and using the encoded features to classify the video images of the subject into a predetermined classification.

20140279801

13839211

1. A method for supporting a decision making process, the method comprising: receiving a decision model from a decision maker, the decision model used for determining a solution to a decision problem based on attributes and uncertainties of the decision problem, the decision problem including information about a plurality of outcome vectors that represent all possible outcomes and the uncertainties associated with the decision problem, the received decision model precluding any preference information of the attributes and the outcome vectors; determining whether the received decision model can be solved without receiving any preference information from the decision maker; receiving partially specified preference information from the decision maker if the received decision model cannot be solved without any preference information; solving the decision model with the partially specified preference information; and recommending, based on the solution, one or more decisions to the decision maker, wherein a processor coupled to a memory device perform steps of: receiving the decision model, determining, receiving the partially specified preference information, solving, and recommending.

20150142407

14535004

1. A method comprising: receiving fluid saturation data for fluid saturation parameters associated with permeabilities of a multidimensional spatial model of a geologic environment; adjusting at least a portion of the fluid saturation data to provide adjusted fluid saturation data by optimizing a quadratic function subject to linear constraints; and simulating flow of fluid using the adjusted fluid saturation data for fluid saturation parameters associated with permeabilities and the multidimensional spatial model of the geologic environment.

20050177593

11040945

1. An adaptive dynamic computer system architecture having a plurality of system layers interconnected to one another, comprising: A first layer including a hardware system including microprocessors, application specific integrated circuits or continuously programmable field programmable gate arrays; A second layer including distributed nodes; A third layer including distributed transformational spatio-temporal object relational database management system; A fourth layer including a multi agent system of intelligent mobile software agents; A fifth layer including plasticity behavior in intrasystemic interaction; A sixth layer including plasticity behavior in environmental interaction; A seventh layer including a plurality of functional applications.

7769623

10321017

1. A computer-implemented method, implemented on a computer system, for conducting controlled online marketing research with a budget, said method comprising: inputting user selection criteria, into said computer system, for entry of a user into an online experiment; visiting, by said user, an online site, where said online experiment is conducted; determining that said user selection criteria, for entry of said user, match user selection criteria for existing experimental or control groups stored in said computer system, wherein said user selection criteria comprise: a particular criterion, other than a number of users, a budget, and an experimental time period, for matching said user to any of said existing experimental or control groups associated with said particular criterion, a number of users for each existing experimental and control group; a budget for said online experiment, based on probabilistic costs of future user actions implemented by prediction tools; and an experimental time period for said online experiment; determining that said user satisfies said user selection criteria for entry into said online experiment, matching said user to a previous participant of said online experiment, assigning said user to one of said existing experimental and control groups, other than that to which said previous participant belongs, entering said user into said online experiment, and conducting said online experiment; outputting, by said computer system, an analysis of a change in a marketing variable with respect to a response variable given by said user measured during the experimental time period for said online experiment, wherein said marketing variable comprises any of a price of product, a discount, an advertisement, a bundling of products, and a product design or packaging.

7771994

10636910

1. An automatic eukaryotic artificial chromosome comprising: (a) a prokaryotic selectable marker(s); (b) a DNA sequence selected from the group consisting of a DNA encoding a eukaryotic selectable marker(s), eukaryotic gene(s), eukaryotic cDNA(s), and combinations thereof; (c) a centromere; (d) a eukaryotic replication sequence(s); (e) at least two inverted telomeres; (f) an entire prokaryotic chromosome; and (g) one or more unique restriction endonuclease sites at the functional chromosomal end of each telomere, which when restricted in the nucleus of the chosen eukaryote in vivo become functional telomeres.

20160224896

14612698

1. A method comprising: receiving a set of parameters for a given project; generating, using information from a knowledge database, a plurality of combinations of group members based at least in part on the set of parameters; evaluating a set of metrics for each of the combinations of group members, the set of metrics comprising at least one novelty metric and at least one collective intelligence metric; generating one or more strategy matrices for each of at least a subset of the combinations of group members using information from the knowledge database; evaluating the combinations of group members in the subset using the strategy matrices to determine respective predicted success values; and selecting a given one of the combinations of group members for the given project based at least in part on the sets of metrics and predicted success values; wherein the method is performed by at least one processing device comprising a processor coupled to a memory.

20060277136

11146167

1. A method for displaying market information of a tradeable object comprising: displaying a first screen region of a graphical user interface, the first screen region comprising a first plurality of locations, each location corresponding to a value along a first value axis, wherein the first screen region is associated with a portion of the first value axis; dynamically displaying an indicator relating to an inside market of a first tradeable object in one of the first plurality of locations in the first screen region, the indicator in the first screen region being displayed in relation to the portion of the first value axis; displaying a second screen region of the graphical user interface, the second screen region comprising a second plurality of locations, each location corresponding to a value along a second value axis, wherein the second screen region is associated with a portion of the second value axis, and wherein the second screen region is displayed in relation to the first screen region; dynamically displaying an indicator relating to an inside market of a second tradeable object in one of the second plurality of locations in the second screen region, the indicator in the second screen region being displayed in relation to the portion of the second value axis; receiving a repositioning command based on an algorithm; and in response to the repositioning command, repositioning the first value axis such that the indicator relating to the inside market of the first tradeable object is displayed at a new location based on the algorithm in the first screen region and repositioning the second value axis such that the indicator relating to the inside market of the second tradeable object is displayed at a new location based on the algorithm in the second screen region.