Classification Or Recognition Patents (Class 706/20)
  • Patent number: 9002763
    Abstract: Embodiments of the present invention provide a system, method, and program product for predicting the classification of a work-item notification generated by an issue tracking system. A computing device analyzes a new work-item notification using a trained binary classifier that was trained using at least a past and/or current work-item history that was collected as a tuple that includes information reflecting the workitem-ID, actor, timestamp, attribute, work-item start-value, and work-item end-value. The computing device, in response to analyzing the new work-item notification, predicts a classification of the new work-item notification. In an embodiment, the classification is used for display of the new work-item notification.
    Type: Grant
    Filed: February 14, 2013
    Date of Patent: April 7, 2015
    Assignee: International Business Machines Corporation
    Inventors: Monika Gupta, Debdoot Mukherjee, Vibha S. Sinha
  • Patent number: 8990132
    Abstract: A low-order model (LOM) of biological neural networks and its mathematical equivalents including the clusterer interpreter probabilistic associative memory (CIPAM) are disclosed. They are artificial neural networks (ANNs) organized as networks of processing units (PUs), Each PU comprising artificial neuronal encoders, synapses, spiking/nonspiking neurons, and a scheme for maximal generalization. If the weights in the artificial synapses in a PU have been learned (and then fixed) or can be adjusted by the unsupervised accumulation rule and the unsupervised covariance rule (or supervised covariance rule), the PU is called unsupervised (or supervised) PU. The disclosed ANNs, with these Hebbian-type learning rules, can learn large numbers of large input vectors with temporally/spatially hierarchical causes with ease and recognize such causes with maximal generalization despite corruption, distortion and occlusion.
    Type: Grant
    Filed: May 11, 2012
    Date of Patent: March 24, 2015
    Inventor: James Ting-Ho Lo
  • Patent number: 8990131
    Abstract: This disclosure provide a bottom sediment determining device, which is inputted with an echo signal corresponding to an ultrasonic wave outputted underwater, and determines water bottom sediment using a neural network. The device includes a memory for storing two or more parameters to be used in the neural network so as to be associated with positional information, a receiver for receiving the positional information, an acquisition module for acquiring the parameters corresponding to the positional information, and a setting module for setting the parameters to the neural network.
    Type: Grant
    Filed: December 5, 2011
    Date of Patent: March 24, 2015
    Assignee: Furuno Electric Co., Ltd.
    Inventors: Tomoo Wada, Yuji Onishi
  • Patent number: 8986928
    Abstract: The invention relates to devices and methods for nanopore sequencing. The invention includes arrays of nanopores having incorporated electronic circuits, for example, in CMOS. In some cases, the arrays of nanopores comprise resistive openings for isolating the electronic signals for improved sequencing. Methods for controlling translocation of through the nanopore are disclosed.
    Type: Grant
    Filed: April 9, 2010
    Date of Patent: March 24, 2015
    Assignee: Pacific Biosciences of California, Inc.
    Inventors: Stephen Turner, Benjamin Flusberg, Mathieu Foquet, Hans Callebaut, Robert Sebra, Bidhan Chaudhuri, Jon Sorenson, Keith Bjornson, Adrian Fehr, Jonas Korlach, Robin Emig
  • Patent number: 8983884
    Abstract: The invention provides a computer-implemented chunking process (named “OP”) to assign and physically associate unique spatial representations (“chunk codes”) in one representational (coding) space (“chunk coding space”) with unique temporal sequences of spatial codes (“items”) in another coding space (“item coding space”). OP differs from all prior chunking processes in that, for any particular item sequence, it activates a unique chunk code for that sequence during presentation of that sequence's first item, even if other sequences from the input domain may begin with the same item.
    Type: Grant
    Filed: August 2, 2010
    Date of Patent: March 17, 2015
    Inventor: Gerard J. Rinkus
  • Patent number: 8983885
    Abstract: A system for prospectively identifying media characteristics for inclusion in media content is disclosed. A neural network database including media characteristic information and feature information may associate relationships among the media characteristic information and feature information. Personal characteristic information associated with target media consumers may be used to select a subset of the neural network database. A first set of nodes, representing selected feature information, may be activated. The node interactions may be calculated to detect the activation of a second set of nodes, the second set of nodes representing media characteristic information. Generally, a node is activated when an activation value of the node exceeds a threshold value. Media characteristic information may be identified for inclusion in media content based on the second set of nodes.
    Type: Grant
    Filed: September 10, 2012
    Date of Patent: March 17, 2015
    Assignee: FEM, Inc.
    Inventors: Meghana Bhatt, Rachel Payne
  • Publication number: 20150074023
    Abstract: An unsupervised behavior learning system and method for predicting anomalies in a distributed computing infrastructure. The distributed computing infrastructure includes a plurality of computer machines. The system includes a first computer machine and a second computer machine. The second computer machine is configured to generate a model of normal and anomalous behavior of the first computer machine, where the model is based on unlabeled training data. The second computer machine is also configured to acquire real-time data of system level metrics of the first machine; determine whether the real-time data is normal or anomalous based on a comparison of the real-time data to the model; and predict a future failure of the first computer machine based on multiple consecutive comparisons of the real-time data to the model.
    Type: Application
    Filed: September 8, 2014
    Publication date: March 12, 2015
    Inventors: Xiaohui Gu, Daniel Dean
  • Patent number: 8977574
    Abstract: An apparatus, device, methods, computer program product, and system are described that provide a graphical illustration of a first possible outcome of a use of a treatment parameter with respect to at least one body portion, based on a first dataset associated with a first predictive basis, and that modify the graphical illustration to illustrate a second possible outcome of the use of the treatment parameter, based on a second dataset associated with a second predictive basis.
    Type: Grant
    Filed: January 27, 2010
    Date of Patent: March 10, 2015
    Assignee: The Invention Science Fund I, LLC
    Inventors: Edward K. Y. Jung, Royce A. Levien, Robert W. Lord, Mark A. Malamud, John D. Rinaldo, Jr., Lowell L. Wood, Jr.
  • Publication number: 20150066825
    Abstract: Mipping systems and methods are disclosed. For example, a mipping system can include processing circuitry configured to receive combinations of a plurality of pixels N at a time, each pixel having material codes directed to respective materials of the pixels, where the material codes relate to infrared properties of the respective materials, and N is a positive integer greater than 1; and train an artificial neural network having a classification space by providing respective neurons for each unique combination of material codes, and condition the artificial neural network so that the respective neurons activate when presented with their unique of material code combinations in order to create a combined set of material code parameters for accurate rendering of the mipped pixels.
    Type: Application
    Filed: September 4, 2014
    Publication date: March 5, 2015
    Applicant: Lockheed Martin Corporation
    Inventors: Gregory Anthony HARRISON, Nickolaos PETRIS, Keith A. STUMP, James Kevin O'MALLEY, JR., Joel PETERS, Walter Joseph WOJCIECHOWSKI
  • Patent number: 8972407
    Abstract: An information processing apparatus determines a weight of each physical feature for hierarchical clustering by acquiring training data of multiple pieces of content in triplets with label information indicating a pair specified by a user as having a highest degree of similarity among three contents of the triplet and executing hierarchical clustering using a feature vector of each piece of content of the training data and the weight of each feature to determine the hierarchical structure of the training data. The information processing apparatus updates the weight of each feature so that the degree of agreement between a pair combined first as being the same clusters among three contents of the triplet in a determined hierarchical structure and a pair indicated by label information corresponding to the triplet increases.
    Type: Grant
    Filed: September 6, 2012
    Date of Patent: March 3, 2015
    Assignee: International Business Machines Corporation
    Inventors: Toru Nagano, Masafumi Nishimura, Takashima Ryoichi, Ryuki Tachibana
  • Patent number: 8964127
    Abstract: A method is provided for a user-sensing remote control system including a TV and a remote control. The method includes obtaining sensing data from a plurality of sensors in the remote control related to a user of the remote control, pre-processing the sensing data, and determining a user identity space containing a plurality of possible user identities of the user using a predetermined statistical algorithm. The method also includes determining whether there is a dominant possible user identity; when it is determined that there is no dominant possible user identity, selecting one or more possible user identities from the user identity space and updating the user identity space until there is a dominant possible user identity; and when it is determined that there is a dominant possible user identity, presenting the dominant possible user identity as the identity of the user to other applications.
    Type: Grant
    Filed: July 27, 2012
    Date of Patent: February 24, 2015
    Assignee: TCL Research America Inc.
    Inventor: Haohong Wang
  • Patent number: 8965820
    Abstract: Embodiments relate to classification of transactions based upon analysis of multiple variables. For a purchase transaction, such variables can include but are not limited to: buying location, source system, line of business, cost center, functional area, supplier capabilities, item description, account description, organization, department, custom parameters, and others. Embodiments may rely upon one or more classification schemes, such as statistical classification, semantic classification, and/or knowledge base classification, taken alone or in combination. In a purchase transaction, classification based on multivariate analysis facilitates identification of a purchased item or service, and hence accuracy in classifying and assigning a central classification code. Particular embodiments may include a feature allowing user review/revision of category assignments via a feedback loop linked to past classification.
    Type: Grant
    Filed: September 4, 2012
    Date of Patent: February 24, 2015
    Assignee: SAP SE
    Inventors: Vishal Kapadia, John Jensen, Geralyn McBride, Jagan Sundaramoothy, Raghavendra Deshmukh, Piyush Sacheti, Chandrashekar Althati
  • Patent number: 8958600
    Abstract: Methods and apparatus are described for monocular 3D human pose estimation and tracking, which are able to recover poses of people in realistic street conditions captured using a monocular, potentially moving camera. Embodiments of the present invention provide a three-stage process involving estimating (10, 60, 110) a 3D pose of each of the multiple objects using an output of 2D tracking-by detection (50) and 2D viewpoint estimation (46). The present invention provides a sound Bayesian formulation to address the above problems. The present invention can provide articulated 3D tracking in realistic street conditions. The present invention provides methods and apparatus for people detection and 2D pose estimation combined with a dynamic motion prior. The present invention provides not only 2D pose estimation for people in side views, it goes beyond this by estimating poses in 3D from multiple viewpoints. The estimation of poses is done in monocular images, and does not require stereo images.
    Type: Grant
    Filed: June 14, 2011
    Date of Patent: February 17, 2015
    Assignees: Toyota Motor Europe NV/SA, Technische Universitat Darmstadt
    Inventors: Gabriel Othmezouri, Ichiro Sakata, Bernt Schiele, Mykhaylo Andriluka, Stefan Roth
  • Publication number: 20150039543
    Abstract: A system for detecting a network intrusion includes a first neural network for determining a first plurality of weight values corresponding to a plurality of vectors of an input data, a second neural network for updating the first plurality of weight values received from the first neural network to a second plurality of weight values based on the plurality of vectors of the input data, a third neural network for updating the second plurality of weight values received from the second neural network to a third plurality of weight values based on the plurality of vectors of the input data, and a classification module for classifying the plurality of vectors under at least one of a plurality of intrusions based on the third plurality of weight values received from the third neural network.
    Type: Application
    Filed: July 30, 2014
    Publication date: February 5, 2015
    Inventors: Balakrishnan Athmanathan, Supriya Kamthania
  • Patent number: 8949130
    Abstract: In embodiments of the present invention improved capabilities are described for a user interacting with a mobile communication facility, where speech presented by the user is recorded using a mobile communication facility resident capture facility. The recorded speech may be recognized using an external speech recognition facility to produce an external output and a resident speech recognition facility to produce an internal output, where at least one of the external output and the internal output may be selected based on a criteria.
    Type: Grant
    Filed: October 21, 2009
    Date of Patent: February 3, 2015
    Assignee: Vlingo Corporation
    Inventor: Michael S. Phillips
  • Patent number: 8945008
    Abstract: Changes of a user's emotion that occurs when content is reproduced and a user's surrounding environment that occurs when the content is reproduced are recorded as sensing meta data and content is reproduced in a reproducing mode corresponding to the recorded sensing meta data. Content supplied from a content providing section 11 is normally reproduced. A human body sensor 24 measures biological information of a user of content. An environmental sensor 25 measures a user's surrounding environment. A sensing meta data generating section 19 generates sensing meta data using information detected by at least one of the human body sensor 24 and the environmental sensor 25. A recording processing section 20 records the generated sensing meta data to a record medium 21. A reproducing processing section 23 reproduces sensing meta data. A reproducing control section 12 reproduces content in a reproducing mode that changes corresponding to the reproduced sensing meta data.
    Type: Grant
    Filed: April 4, 2007
    Date of Patent: February 3, 2015
    Assignee: Sony Corporation
    Inventors: Mitsuru Takehara, Yoichiro Sako, Toshiro Terauchi
  • Patent number: 8938410
    Abstract: To implement open information extraction, a new extraction paradigm has been developed in which a system makes a single data-driven pass over a corpus of text, extracting a large set of relational tuples without requiring any human input. Using training data, a Self-Supervised Learner employs a parser and heuristics to determine criteria that will be used by an extraction classifier (or other ranking model) for evaluating the trustworthiness of candidate tuples that have been extracted from the corpus of text, by applying heuristics to the corpus of text. The classifier retains tuples with a sufficiently high probability of being trustworthy. A redundancy-based assessor assigns a probability to each retained tuple to indicate a likelihood that the retained tuple is an actual instance of a relationship between a plurality of objects comprising the retained tuple. The retained tuples comprise an extraction graph that can be queried for information.
    Type: Grant
    Filed: December 16, 2010
    Date of Patent: January 20, 2015
    Assignee: University of Washington through its Center for Commercialization
    Inventors: Michael J. Cafarella, Michele Banko, Oren Etzioni
  • Patent number: 8934994
    Abstract: A method and apparatus are presented for automatically fabricating arbitrary materials and objects from raw components, using a combination of simple chemical, electrical, and mechanical operations. The invention will automatically generate machine control instructions for controlling automated fabrication devices and equipment from simple instructions in natural language. The invention also allows the sharing, remote execution, scheduling, and automatic ingredient ordering for such instructions to allow the creation of new materials and professional object fabrication with little or no human intervention.
    Type: Grant
    Filed: July 29, 2009
    Date of Patent: January 13, 2015
    Inventor: Rusty S. Lee
  • Patent number: 8935664
    Abstract: A technique and associated mechanism that guides the user through a set of questions relating to operation rules used in the design of Service Oriented Architecture Systems (SOAs). The questions are related to key aspects of a solution—security, maintenance frequency, usage demand/performance and complexity. Preferably, the questions are yes-or-no questions. Based on the answers provided, an appropriate path will be selected categorize into an appropriate category. The category of the rule will require, or at least suggest, the SOA component into which the rule will be implemented when it is implemented by the SOA designer. the technique is technology specific agnostic and helps in selecting an appropriate tool/platform in a standard and consistent manner.
    Type: Grant
    Filed: October 5, 2011
    Date of Patent: January 13, 2015
    Assignee: International Business Machines Corporation
    Inventors: Abdul Allam, Jaime Macbeth Gonzalez Lojero, Rafael Arriaga Lara
  • Publication number: 20150012472
    Abstract: Systems, methods, and media for updating a classifier are provided, in some embodiments, systems for updating a classifier are provided, the systems comprising: a hardware processor that is configured to: receive a sample; for each of a first plurality of weak learners, classify the sample using the weak learner, determine an outcome of the classification, and determine an up-dated error rate of the weak learner based on the outcome of the classification and at least one of: (i) a count of positive samples used to update the classifier, and (ii) a count of negative samples used to update the classifier; select a first weak learner from the first plurality of weak learners based on the updated error rate of the first weak learner; and update tire classifier based on the first weak learner.
    Type: Application
    Filed: February 4, 2013
    Publication date: January 8, 2015
    Inventors: Jianming Liang, Hong Wu, Wenzhe Xue, Nima Tajbakhsh
  • Publication number: 20150006451
    Abstract: Machines, systems and methods for classifying documents, the method comprising: classifying a document from among a plurality of documents in a first class, in response to applying statistical analysis to data associated with the document; classifying the document in a second class, in response to determining that a rule from among a plurality of rules applies to the document, wherein a proposed rule is added to the plurality of rules, in response to determining that application of the proposed rule to one or more of the plurality of documents to which the rule is applicable does not diminish accuracy of overall classification for the plurality of documents.
    Type: Application
    Filed: September 14, 2014
    Publication date: January 1, 2015
    Inventors: Yigal S. DAYAN, Gil FUCHS, Josemina M. MAGDALEN, Oren PAIKOWSKY
  • Patent number: 8924315
    Abstract: Multi-task regression or classification includes optimizing parameters of a Bayesian model representing relationships between D features and P tasks, where D?1 and P?1, respective to training data comprising sets of values for the D features annotated with values for the P tasks. The Bayesian model includes a matrix-variate prior having features and tasks dimensions of dimensionality D and P respectively. The matrix-variate prior is partitioned into a plurality of blocks, and the optimizing of parameters of the Bayesian model includes inferring prior distributions for the blocks of the matrix-variate prior that induce sparseness of the plurality of blocks. Values of the P tasks are predicted for a set of input values for the D features using the optimized Bayesian model. The optimizing also includes decomposing the matrix-variate prior into a product of matrices including a matrix of reduced rank in the tasks dimension that encodes correlations between tasks.
    Type: Grant
    Filed: December 13, 2011
    Date of Patent: December 30, 2014
    Assignee: Xerox Corporation
    Inventors: Cedric Archambeau, Shengbo Guo, Onno Zoeter, Jean-Marc Andreoli
  • Patent number: 8918396
    Abstract: An information processing apparatus determines a weight of each physical feature for hierarchical clustering by acquiring training data of multiple pieces of content in triplets with label information indicating a pair specified by a user as having a highest degree of similarity among three contents of the triplet and executing hierarchical clustering using a feature vector of each piece of content of the training data and the weight of each feature to determine the hierarchical structure of the training data. The information processing apparatus updates the weight of each feature so that the degree of agreement between a pair combined first as being the same clusters among three contents of the triplet in a determined hierarchical structure and a pair indicated by label information corresponding to the triplet increases.
    Type: Grant
    Filed: June 28, 2012
    Date of Patent: December 23, 2014
    Assignee: International Business Machines Corporation
    Inventors: Toru Nagano, Masafumi Nishimura, Takashima Ryoichi, Ryuki Tachibana
  • Patent number: 8918346
    Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a load feature database of a plurality of different electric load types, each of the different electric load types including a first load feature vector having at least four different load features; sensing a voltage signal and a current signal for each of the different electric loads; determining a second load feature vector comprising at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by determining a minimum distance of the second load feature vector to the first load feature vector of the different electric load types of the load feature database.
    Type: Grant
    Filed: November 28, 2011
    Date of Patent: December 23, 2014
    Assignee: Eaton Corporation
    Inventors: Bin Lu, Yi Yang, Santosh K. Sharma, Prachi Zambare, Mayura A. Madane
  • Patent number: 8918312
    Abstract: Assigning sentiment to themes is disclosed. Reputation data extracted from at least one data source is received. The reputation data includes user-authored reviews. The user-authored reviews include text and at least one rating. For a first review included in the reputation data, at least one keyword is determined using the first review's text. A sentiment is assigned for a theme associated with the keyword based at least in part on the first review's rating.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: December 23, 2014
    Assignee: Reputation.com, Inc.
    Inventors: John Andrew Rehling, Thomas Gerardo Dignan
  • Patent number: 8914292
    Abstract: In embodiments of the present invention improved capabilities are described for a user interacting with a mobile communication facility, where speech presented by the user is recorded using a mobile communication facility resident capture facility. The recorded speech may be recognized using an external speech recognition facility to produce an external output and a resident speech recognition facility to produce an internal output, where at least one of the external output and the internal output may be selected based on a criteria.
    Type: Grant
    Filed: October 21, 2009
    Date of Patent: December 16, 2014
    Assignee: Vlingo Corporation
    Inventor: Michael S. Phillips
  • Publication number: 20140365414
    Abstract: Apparatus and methods for learning in response to temporally-proximate features. In one implementation, an image processing apparatus utilizes bi-modal spike timing dependent plasticity in a spiking neuron network. Based on a response by the neuron to a frame of input, the bi-modal plasticity mechanism is used to depress synaptic connections delivering the present input frame and to potentiate synaptic connections delivering previous and/or subsequent frames of input. The depression of near-contemporaneous input prevents the creation of a positive feedback loop and provides a mechanism for network response normalization.
    Type: Application
    Filed: August 22, 2014
    Publication date: December 11, 2014
    Inventors: Micah Richert, Filip Piekniewski, Eugene Izhikevich, Sach Sokol
  • Patent number: 8909573
    Abstract: An alteration candidate for a query can be scored. The scoring may include computing one or more query-dependent feature scores and/or one or more intra-candidate dependent feature scores. The computation of the query-dependent feature score(s) can be based on dependencies to multiple query terms from each of one or more alteration terms (i.e., for each of the one or more alteration terms, there can be dependencies to multiple query terms that form at least a portion of the basis for the query-dependent feature score(s)). The computation of the intra-candidate dependent feature score(s) can be based on dependencies between different terms in the alteration candidate. A candidate score can be computed using the query dependent feature score(s) and/or the intra-candidate dependent feature score(s). Additionally, the candidate score can be used in determining whether to select the candidate to expand the query. If selected, the candidate can be used to expand the query.
    Type: Grant
    Filed: July 29, 2013
    Date of Patent: December 9, 2014
    Assignee: Microsoft Corporation
    Inventors: Shasha Xie, Xiaodong He, Jianfeng Gao
  • Patent number: 8909572
    Abstract: Systems, methods, and media that: implement a boosted classifier having a plurality of weak hypotheses that produce a classification, each of the plurality of weak hypotheses having at least one weight; receive testing data; receive at least one piece of training data subsequently to receiving the testing data; calculate corrective terms for correcting a sum of weights of correctly classified training data and a sum of weights of incorrectly classified training data; calculate the sum of weights of correctly classified training data and the sum of weights of incorrectly classified training data based on the corrective terms; modify the at least one weight of at least one of the plurality of weak hypotheses in response to the at least one piece of training data based on the sum of weights to produce modified weights; and classify the testing data based on the modified weights to produce a classification.
    Type: Grant
    Filed: June 18, 2010
    Date of Patent: December 9, 2014
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Raphael A. Pelossof, Michael Jones
  • Patent number: 8909563
    Abstract: Methods, systems, and articles of manufacture for annotating of an image are disclosed. These include scoring the image using a plurality of trained classifiers, wherein each of the trained classifiers corresponds to at least one of a plurality of image groups clustered based upon image similarity, and wherein each image group is associated with a set of weighted labels; selecting one or more of the image groups based upon the scoring; aggregating one or more sets of weighted labels associated with the selected one or more image groups; and annotating the image using the aggregated one or more sets of weighted labels.
    Type: Grant
    Filed: June 17, 2011
    Date of Patent: December 9, 2014
    Assignee: Google Inc.
    Inventors: Yushi Jing, Yi Liu, David Tsai
  • Publication number: 20140358831
    Abstract: Techniques for use in connection with performing optimization using an objective function that maps elements in a first domain to values in a range. The techniques include using at least one computer hardware processor to perform: identifying a first point at which to evaluate the objective function at least in part by using an acquisition utility function and a probabilistic model of the objective function, wherein the probabilistic model depends on a non-linear one-to-one mapping of elements in the first domain to elements in a second domain; evaluating the objective function at the identified first point to obtain a corresponding first value of the objective function; and updating the probabilistic model of the objective function using the first value to obtain an updated probabilistic model of the objective function.
    Type: Application
    Filed: May 30, 2014
    Publication date: December 4, 2014
    Applicants: President and Fellows of Harvard College, Governing Council of the Univ. of Toronto, The MaRS Centre
    Inventors: Ryan P. Adams, Roland Jasper Snoek, Kevin Swersky, Richard Zemel
  • Patent number: 8903752
    Abstract: Systems and methods for classifying a set of documents are provided. In some aspects, a method includes receiving a subset of the set of documents. The method also includes automatically determining at least one classification rule for the subset of documents based on the documents in the subset. At least a true-positive threshold proportion of documents in the subset of documents follows the at least one classification rule. At most a false-positive threshold proportion of documents in the set of documents and not in the subset of documents follow the at least one classification rule. The method also includes storing the at least one classification rule in association with the subset of documents.
    Type: Grant
    Filed: February 9, 2012
    Date of Patent: December 2, 2014
    Assignee: Google Inc.
    Inventors: Ond{hacek over (r)}ej Pacovský, Douglas Alexander Aberdeen, Pál Takácsi
  • Patent number: 8903751
    Abstract: Methods, systems and computer program products are provided. Methods for detecting helpful query responses include generating helpfulness terminology data corresponding to words, terms, phrases and/or symbols that correspond to an expression of helpfulness. A query based exchange including multiple messages is identified. The messages are analyzed using the helpfulness terminology data to detect a helpful message. The helpful message is associated with a source participant and a helpfulness value that corresponds to the source participant is modified. A value corresponding to the query based exchange indicating that the query based exchange was successful is stored.
    Type: Grant
    Filed: January 28, 2011
    Date of Patent: December 2, 2014
    Assignee: Amazon Technologies, Inc.
    Inventors: Brandon Yarbrough, Manish Katyal, Gregory Miller
  • Publication number: 20140351186
    Abstract: Methods and apparatus are provided for implementing spike-timing dependent plasticity (STDP) using windowing of spikes. One example method for operating an artificial nervous system generally includes recording spike times for a first artificial neuron, recording spike times for a second artificial neuron coupled to the first artificial neuron via a synapse, processing spikes for the second artificial neuron according to a window based at least in part on the spike times for the first artificial neuron, and updating a parameter (e.g., a weight or a delay) of the synapse based on the processing.
    Type: Application
    Filed: November 19, 2013
    Publication date: November 27, 2014
    Applicant: QUALCOMM Incorporated
    Inventors: David Jonathan JULIAN, Jeffrey Alexander LEVIN, Kristopher PETERSON, Ravindra Manohar PATWARDHAN
  • Patent number: 8898090
    Abstract: An interactive tool is described for modifying the behavior of a system, such as, but not limited to, the behavior of a classification system. The tool uses an interface mechanism to present a current global state of the system. The tool accepts one or more refinements to this global state, e.g., by accepting individual changes to parameter settings that are presented by the interface mechanism. Based on this input, the tool computes and displays the global implications of the updated parameter settings. The process of iterating over one or more cycles of user updates, followed by computation and display of the implications of the attempted refinements, has the effect of advancing the system towards a global state that exhibits desirable behavior.
    Type: Grant
    Filed: April 8, 2010
    Date of Patent: November 25, 2014
    Assignee: Microsoft Corporation
    Inventors: Ashish Kapoor, Bongshin Lee, Desney S. Tan, Eric J. Horvitz
  • Publication number: 20140344200
    Abstract: A method for creating on chip analog mathematical engines is provided utilizing a neural network with a switched capacitor structure to implement coefficients for weighted connections and error functions for the neural network. The neural networks are capable of any transfer function, learning, doing pattern recognition, clustering, control or many other functions. The switched capacitor charge controls allow for nodal control of charge transfer based switched capacitor circuits. The method reduces reliance on passive component programmable arrays to produce programmable switched capacitor circuit coefficients. The switched capacitor circuits are dynamically scaled without having to rely on switched in unit passives, such as unit capacitors, and the complexities of switching these capacitors into and out of circuit.
    Type: Application
    Filed: March 15, 2014
    Publication date: November 20, 2014
    Inventor: DAVID SCHIE
  • Patent number: 8892554
    Abstract: Method, system, and computer program product for automatic generation of a word-cloud for a content item are provided. The method includes: extracting terms from a content item using statistical selection criteria; weighting a term by a probability that the term is used as a tag; and generating a visual representation of terms with enhanced representation of terms according to the weighting. Weighting a term by a probability that the term is used as a tag may include determining the relative frequency of the term in a folksonomy of tag terms for a domain.
    Type: Grant
    Filed: May 23, 2011
    Date of Patent: November 18, 2014
    Assignee: International Business Machines Corporation
    Inventors: David Carmel, Ido Guy, Yosi Mass, Haggai Roitman, Erel Uziel
  • Patent number: 8886540
    Abstract: A method and system for entering information into a software application resident on a mobile communication facility is provided. The method and system may include recording speech presented by a user using a mobile communication facility resident capture facility, transmitting the recording through a wireless communication facility to a speech recognition facility, transmitting information relating to the software application to the speech recognition facility, generating results utilizing the speech recognition facility using an unstructured language model based at least in part on the information relating to the software application and the recording, transmitting the results to the mobile communications facility, loading the results into the software application and simultaneously displaying the results as a set of words and as a set of application results based on those words.
    Type: Grant
    Filed: August 1, 2008
    Date of Patent: November 11, 2014
    Assignee: Vlingo Corporation
    Inventors: Joseph P. Cerra, John N. Nguyen, Michael S. Phillips, Han Shu, Alexandra Beth Mischke
  • Patent number: 8887095
    Abstract: One embodiment of the present invention sets forth a technique for recommending digital content to a user of a digital content application based on continually learned patterns of behavior. Based on metrics collected from a current session of the digital content application, properties associated with one or more users interacting with the application are inferred. The inferred properties are matched against previously defined patterns of behavior to identify digital content that could be presented to the one or more users for optional selection.
    Type: Grant
    Filed: April 5, 2011
    Date of Patent: November 11, 2014
    Assignee: Netflix, Inc.
    Inventors: Satish Kumar Krishnamurthy, John Funge, Neil D. Hunt, Todd Scot Yellin, Jonathan Michael Sanders
  • Patent number: 8886586
    Abstract: A method for making optimal decisions includes the ability to consider and weigh multiple factors, where those factors might be numeric, or non-numeric, objective or subjective. Further, the method ensures that factors are not prematurely eliminated. This contrasts with behavior common to decision-tree based approaches. The method further allows for weighting based on multiple statistical means as well as by the application of non-statistical values.
    Type: Grant
    Filed: May 18, 2010
    Date of Patent: November 11, 2014
    Assignee: Pi-Coral, Inc.
    Inventor: Roger Frederick Osmond
  • Patent number: 8886580
    Abstract: Aggregate scoring is used to help classify digital content such as content uploaded to multi-user websites (e.g., social networking websites). In one embodiment, specific categories are used that relate to a social implication of content. For example, text, images, audio or other data formats can provide communication perceived to fall into categories such as violent, abusive, rights management, pornographic or other types of communication. The categories are used to provide a raw score to items in various groupings of a site's content. Where items are related to other items such as by organizational, social, legal, data-driven, design methods, or by other principles or definitions, the related items' raw scores are aggregated to achieve a score for a particular grouping of items that reflects, at least in part, scores from two or more of the related items.
    Type: Grant
    Filed: February 28, 2013
    Date of Patent: November 11, 2014
    Assignee: Lithium Technologies, Inc.
    Inventors: Pierre Grenier, Eddie Lo, Satinderpal Sandhu
  • Patent number: 8880448
    Abstract: Apparatus and method for assessing odors, comprises an electronic nose, to be applied to an odor and to output a structure identifying the odor; a neural network which maps an extracted structure to a first location on a pre-learned axis of odor pleasantness; and an output for outputting an assessment of an applied odor based on said first location. The assessment may be a prediction of how pleasant a user will consider the odor.
    Type: Grant
    Filed: July 22, 2010
    Date of Patent: November 4, 2014
    Assignee: Yeda Research and Development Co. Ltd.
    Inventors: Rafi Haddad, Noam Sobel, David Harel
  • Publication number: 20140324748
    Abstract: A method, apparatus and computer program products are provided for automatically detecting specific locations, i.e. bus stops, stop lights, and/or traffic signals, based on received GPS reports. The method can also be adopted to detect the utilization of the specific locations along the route. One example method includes receiving GPS data from a plurality of buses from along a transit route, and utilizes a machine learning classification strategy that captures the mobility patterns of the GPS equipped buses, at specific locations. The method may then generate mini-clusters, each comprised of a first location point from a first route and one or more subsequent location points located within a predetermined distance of the first location point. The mobility patterns of the mini-clusters within larger clusters are represented as a normalized histogram where the bin values become classification features. A machine learning model is then utilized to determine a location of the specific locations.
    Type: Application
    Filed: April 29, 2013
    Publication date: October 30, 2014
    Applicant: HERE Global B.V.
    Inventors: Leo Modica, Leon Stenneth
  • Publication number: 20140324747
    Abstract: Embodiments of a system and method for an artificial cognitive neural framework are generally described herein.
    Type: Application
    Filed: April 30, 2013
    Publication date: October 30, 2014
    Applicant: Raytheon Company
    Inventor: Raytheon Company
  • Patent number: 8874439
    Abstract: Signal separation techniques based on frequency dependency are described. In one implementation, a blind signal separation process is provided that avoids the permutation problem of previous signal separation processes. In the process, two or more signal sources are provided, with each signal source having recognized frequency dependencies. The process uses these inter-frequency dependencies to more robustly separate the source signals. The process receives a set of mixed signal input signals, and samples each input signal using a rolling window process. The sampled data is transformed into the frequency domain, which provides channel inputs to the inter-frequency dependent separation process. Since frequency dependencies have been defined for each source, the process is able to use the frequency dependency to more accurately separate the signals.
    Type: Grant
    Filed: March 1, 2006
    Date of Patent: October 28, 2014
    Assignee: The Regents of the University of California
    Inventors: Taesu Kim, Te-Won Lee
  • Publication number: 20140317034
    Abstract: An illustrative data classifier device includes data storage and at least one processor configured to operate as a query engine and a passive classifier that is configured to predict classification labels for data. The processor is configured to determine a relationship between the data and training data with associated training classification labels. The processor is also configured to assign a weighted version of at least one of the training classification labels to at least one member of the data based on the determined relationship. An illustrative method of classifying data includes predicting classification labels for data by determining a relationship between the data and training data with associated training classification labels. A weighted version of at least one of the training classification labels is assigned to at least one member of the data based on the determined relationship.
    Type: Application
    Filed: April 23, 2013
    Publication date: October 23, 2014
    Inventor: Dan KUSHNIR
  • Patent number: 8868468
    Abstract: An intelligent decision system and a method for making an intelligent decision are provided. The intelligent decision supporting system includes a multi-dimensional classifier comprising a plurality of classifiers that define different semantic standards and are trained based on the different semantic standards, for classifying a text by the semantic standards and for outputting a plurality of attributes of the text and a confidence rate of each of the plurality of attributes, a question submitting module for receiving the output of the multi-dimensional classifier, for forming a question based on the plurality of attributes of the text and the confidence rate of each attribute, and for submitting the question to an inference machine, the inference machine for receiving the question submitted by the question submitting module, for inquiring of a domain ontology knowledge library based on the question, and for providing an answer for the question to an decision reply module.
    Type: Grant
    Filed: January 31, 2011
    Date of Patent: October 21, 2014
    Assignees: Samsung Electronics Co., Ltd., Samsung Electronics (China) R&D Center
    Inventors: Ge Peng, Ying Jiang, Jin Wang, Sipei Liu
  • Patent number: 8869095
    Abstract: The disclosed software framework and development platform facilitates software development for multi-sensor systems. In some implementations, developers can select a sensor board that includes a desired combination of sensor devices. The sensor board can be coupled to a development board that includes a target processor and other circuitry to facilitate development and testing of a system that includes the target processor and the sensors. Various software support tools are provided including an Application Programming Interface (API) that provides API abstractions for software drivers for the sensors on the sensor board. By using the abstractions of the API, a software developer does not have to write code (“glue”) to interact with the various software drivers. Additionally, the API provides access to a variety of software library functions for performing data scaling, unit conversion and mathematical functions and algorithms.
    Type: Grant
    Filed: May 17, 2011
    Date of Patent: October 21, 2014
    Assignee: Atmel Corporation
    Inventors: Kent D. Long, Paul A. Iannacito, John Logan, Adrian Woolley
  • Patent number: 8862521
    Abstract: Exemplary embodiments provide systems, devices, one or more non-transitory computer-readable media and computer-executable methods for managing publication of online advertising. In exemplary embodiments, computer-based publication techniques may include, but is not limited to, automatically determining whether the content of a particular web page article is suitable or unsuitable for accompaniment with one or more advertisements, automatically determining whether an advertisement is suitable or unsuitable for publication on a web page associated with a web page article, and automatically determining a category that may be used to classify the content of a web page article in order to select one or more categories of advertisements suitable for accompaniment with the web page article.
    Type: Grant
    Filed: October 13, 2011
    Date of Patent: October 14, 2014
    Assignee: AOL Inc.
    Inventor: Jeffrey Revesz
  • Patent number: 8856049
    Abstract: An apparatus for classifying an audio signal configured to: estimate at least one shaping parameter value for a plurality of samples of the audio signal; generate at least one audio signal classification value by mapping the at least one shaping parameter value to one of at least two interval estimates; and determine at least one audio signal classification decision based on the at least one audio signal classification value.
    Type: Grant
    Filed: March 26, 2008
    Date of Patent: October 7, 2014
    Assignee: Nokia Corporation
    Inventors: Adriana Vasilache, Lasse Juhani Laaksonen, Mikko Tapio Tammi, Anssi Sakari Ramo