Patents by Inventor James K. Baker

James K. Baker has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10300430
    Abstract: A composite material for gas capture, notably CO2 capture and storage. The composite material includes a mixture of a solid or liquid reactive filler and a gas-permeable polymer such that the reactive filler forms micron-scale domains in the polymer matrix.
    Type: Grant
    Filed: March 24, 2017
    Date of Patent: May 28, 2019
    Assignee: Lawrence Livermore National Security, LLC
    Inventors: Du T. Nguyen, Roger D. Aines, Sarah E. Baker, William L. Bourcier, Eric B. Duoss, James S. Oakdale, Megan M. Smith, William L. Smith, Joshuah K. Stolaroff, Congwang Ye
  • Publication number: 20190095798
    Abstract: Computer systems and methods generate a stochastic categorical autoencoder learning network (SCAN). The SCAN is trained to have an encoder network that outputs, subject to one or more constraints, parameters for parametric probability distributions of sample random variables from input data. The parameters comprise measures of central tendency and measures of dispersion. The one or more constraints comprise a first constraint that constrains a measure of a magnitude of a vector of the measures of central tendency as compared to a measure of a magnitude of a vector of the measures of dispersion. Thereafter, the sample random variables are generated from the parameters and a decoder is trained to output the input data from the sample random variables.
    Type: Application
    Filed: September 7, 2018
    Publication date: March 28, 2019
    Inventor: James K. Baker
  • Publication number: 20140032973
    Abstract: A pattern analysis system and method that is robust against errors, misalignments and failures of process that may be caused by unexpected events. By performing multiple, redundant overlapping analyses with different operating characteristics and by actively testing for disagreements and errors, the invention detects errors and either corrects them or at least eliminates their harmful effects. The invention is especially effective in highly constrained situations, such as training a model to a script that is presumed correct or recognition with a highly constrained grammar or language model. In particular, it is effective when unexpected events may be rare but disastrous when they occur. The system and method handle errors that would otherwise be undetected as well as errors that would cause catastrophic failures.
    Type: Application
    Filed: March 13, 2013
    Publication date: January 30, 2014
    Applicant: James K. Baker Revocable Trust
    Inventor: James K. BAKER
  • Patent number: 8382317
    Abstract: A hazard warning light assembly includes a panel that has a top side and a bottom side. A receiver mount is attached to and extends upwardly from the top side. A stake has a top end, a bottom end and a perimeter wall extending between the top and bottom ends. The bottom end is pointed to allow the bottom end to be extendable into a ground surface. The receiver mount has a size and shape configured to receive the bottom end and support the stake in a vertical orientation. A plurality of primary light emitters is mounted to the stake. The primary light emitters are selectively turned on to emit light. A primary actuator is electrically coupled to the primary light emitters to turn the primary light emitters on or off.
    Type: Grant
    Filed: July 16, 2010
    Date of Patent: February 26, 2013
    Inventor: James K. Baker
  • Patent number: 8331657
    Abstract: A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module.
    Type: Grant
    Filed: April 13, 2012
    Date of Patent: December 11, 2012
    Assignee: Aurilab, LLC
    Inventor: James K. Baker
  • Patent number: 8331656
    Abstract: A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module.
    Type: Grant
    Filed: April 13, 2012
    Date of Patent: December 11, 2012
    Assignee: Aurilab, LLC
    Inventor: James K. Baker
  • Publication number: 20120203720
    Abstract: A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module.
    Type: Application
    Filed: April 13, 2012
    Publication date: August 9, 2012
    Inventor: James K. Baker
  • Publication number: 20120203716
    Abstract: A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module.
    Type: Application
    Filed: April 13, 2012
    Publication date: August 9, 2012
    Inventor: James K. BAKER
  • Patent number: 8180147
    Abstract: A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module.
    Type: Grant
    Filed: August 11, 2011
    Date of Patent: May 15, 2012
    Assignee: Aurilab, LLC
    Inventor: James K. Baker
  • Publication number: 20110299765
    Abstract: A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module.
    Type: Application
    Filed: August 11, 2011
    Publication date: December 8, 2011
    Inventor: JAMES K. BAKER
  • Patent number: 8014591
    Abstract: A computer-implemented pattern recognition method, system and program product, the method comprising in one embodiment: creating electronically a linkage between a plurality of models within a classifier module within a pattern recognition system such that any one of said plurality of models may be selected as an active model in a recognition process; creating electronically a null hypothesis between at least one model of said plurality of linked models and at least a second model among said plurality of linked models; accumulating electronically evidence to accept or reject said null hypothesis until sufficient evidence is accumulated to reject said null hypothesis in favor of one of said plurality of linked models or until a stopping criterion is met; and transmitting at least a portion of the electronically accumulated evidence or a summary thereof to accept or reject said null hypothesis to a pattern classifier module.
    Type: Grant
    Filed: September 13, 2007
    Date of Patent: September 6, 2011
    Assignee: Aurilab, LLC
    Inventor: James K. Baker
  • Patent number: 7562015
    Abstract: A distributed pattern recognition training method includes providing data communication between at least one central pattern analysis node and a plurality of peripheral data analysis sites. The method also includes communicating from the at least one central pattern analysis node to the plurality of peripheral data analysis a plurality of kernel-based pattern elements. The method further includes performing a plurality of iterations of pattern template training at each of the plurality of peripheral data analysis sites.
    Type: Grant
    Filed: July 14, 2005
    Date of Patent: July 14, 2009
    Assignee: Aurilab, LLC
    Inventor: James K. Baker
  • Patent number: 7031915
    Abstract: A speech recognition method, system and program product, the method in one embodiment comprising: obtaining input speech data; initiating a first speech recognition search process with at least one hypothesis; initiating a second speech recognition search process with a plurality of hypotheses; obtaining partial results from the second speech recognition search process, where the partial results include an evaluation of at least one hypothesis that the first speech recognition search process has not evaluated at this point in time; and utilizing the partial results to alter the first speech recognition search process.
    Type: Grant
    Filed: January 23, 2003
    Date of Patent: April 18, 2006
    Assignee: Aurilab LLC
    Inventor: James K. Baker
  • Publication number: 20040267529
    Abstract: A speech recognition method obtains a list of target speech element sequences each containing at least one speech element. For each target speech element sequence, a forward sequence extension model and a backward sequence extension model is obtained. At least one spotted target speech element sequence is found in a set of acoustic observations by matching it against the sequence of speech element models. From the set of acoustic observations, the set of acoustic observations preceding and following the at least one spotted target speech element sequence is obtained. At least one hypothesis of a longer speech element sequence containing the at least one spotted speech element sequence is obtained as a proper subsequence in which the at least one longer speech element sequence is consistent with at least one of the forward sequence extension model and the backward sequence extension model.
    Type: Application
    Filed: June 24, 2003
    Publication date: December 30, 2004
    Applicant: Aurilab, LLC
    Inventor: James K. Baker
  • Publication number: 20040249637
    Abstract: A method of speech recognition obtains acoustic data from a plurality of conversations. A plurality of pairs of utterances are selected from the plurality of conversations. At least one portion of the first utterance of the pair of utterances is dynamically aligned with at least one portion of the second utterance of the pair of utterance, and an acoustic similarity is computed. At least one pair that includes a first portion from a first utterance and a second portion from a second utterance is chosen, based on a criterion of acoustic similarity. A common pattern template is created from the first portion and the second portion.
    Type: Application
    Filed: June 2, 2004
    Publication date: December 9, 2004
    Applicant: Aurilab, LLC
    Inventor: James K. Baker
  • Patent number: 6823493
    Abstract: A word recognition method and system includes obtaining a first portion of a sentence and a second portion of the sentence. The first portion of the sentence is used to obtain a pointer to respective list of second portions of sentences that are complementary to the first portion of the sentence. A match is determined to one of the second portions of sentences from the list based on information obtained from the second portion of the sentence. An error correction capability for dealing with one word errors in the sentence for checking against the database is also attainable.
    Type: Grant
    Filed: January 23, 2003
    Date of Patent: November 23, 2004
    Assignee: Aurilab, LLC
    Inventor: James K. Baker
  • Publication number: 20040210437
    Abstract: A method for performing speech recognition of a user's speech includes performing a first speech recognition process on each utterance of the user's speech, using acoustic models that are based on training data of non-discrete utterances. The method also includes performing a second speech recognition process on each utterance of the user's speech, using acoustic models that are based on training data of discrete utterances. The method further includes obtaining a first match score for each utterance of the user's speech from the first speech recognition process and obtaining a second match score for each utterance of the user's speech from the second speech recognition process. The method also includes determining a highest match score from the first and second match scores. The method further includes providing a speech recognition output for the user's speech, based on highest match scores of each utterance as obtained from the first and second speech recognition processes.
    Type: Application
    Filed: April 15, 2003
    Publication date: October 21, 2004
    Applicant: Aurilab, LLC
    Inventor: James K. Baker
  • Publication number: 20040193412
    Abstract: A speech recognition method, system, and program product, the method comprising in one embodiment: obtaining a frame match score for each of a plurality of different speech elements for a frame; obtaining a scrunched score for each of a plurality of the frame match scores for the frame, wherein a scrunched score means applying a non-linear transformation to each of the frame match scores so that frame match score differences among relatively good competing frame matches are reduced while the score differences between good frame matches and the poor frame matches is substantially maintained or increased, wherein a relatively good frame match score is determined based on a criterion; for each of a plurality of hypotheses, accumulating the scrunched scores for frames of the hypothesis to obtain a hypothesis scrunched score for the hypothesis; selecting a plurality of hypotheses with better hypothesis scrunched scores as compared to the accumulated scrunched scores for other hypotheses; for each of the selected h
    Type: Application
    Filed: March 18, 2003
    Publication date: September 30, 2004
    Applicant: Aurilab, LLC
    Inventor: James K. Baker
  • Publication number: 20040190687
    Abstract: A method for interpreting information provided over a telephone line from a customer includes providing at least a portion of an utterance made by the customer to a speech recognizer, at a same time the utterance is being heard on the telephone line by a call center operator. The method also includes processing, by the speech recognizer, the portion of the utterance made by the customer, in order to obtain a speech recognition result. The method further includes providing the speech recognition result to the call center operator, to assist the call center operator in discerning the utterance made by the customer.
    Type: Application
    Filed: March 26, 2003
    Publication date: September 30, 2004
    Applicant: Aurilab, LLC
    Inventor: James K. Baker
  • Publication number: 20040186714
    Abstract: A method, program product and system for speech recognition for use with a base speech recognition process, but which does not affect scoring models in the base speech recognition process, the method comprising in one embodiment: obtaining an output hypothesis from a base speech recognition process that uses a first set of scoring models; obtaining a set of alternative hypotheses; scoring the set of alternative hypotheses based on a second set of different scoring models that is separate from and external to the base speech recognition process and does not affect the scoring models thereof; and selecting a hypothesis with a best score.
    Type: Application
    Filed: March 18, 2003
    Publication date: September 23, 2004
    Applicant: Aurilab, LLC
    Inventor: James K. Baker