Patents by Inventor Alexander C Berg

Alexander C Berg 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).

  • Method and system for optimizing accuracy-specificity trade-offs in large scale visual recognition
    Patent number: 9779291
    Abstract: As visual recognition scales up to ever larger numbers of categories, maintaining high accuracy is increasingly difficult. Embodiment of the present invention include methods for optimizing accuracy-specificity trade-offs in large scale recognition where object categories form a semantic hierarchy consisting of many levels of abstraction.
    Type: Grant
    Filed: October 12, 2015
    Date of Patent: October 3, 2017
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Fei-Fei Li, Jia Deng, Jonathan Krause, Alexander C. Berg
  • Method and System for Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition
    Publication number: 20160162731
    Abstract: As visual recognition scales up to ever larger numbers of categories, maintaining high accuracy is increasingly difficult. Embodiment of the present invention include methods for optimizing accuracy-specificity trade-offs in large scale recognition where object categories form a semantic hierarchy consisting of many levels of abstraction.
    Type: Application
    Filed: October 12, 2015
    Publication date: June 9, 2016
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Fei-Fei Li, Jia Deng, Jonathan Krause, Alexander C. Berg
  • Method and system for optimizing accuracy-specificity trade-offs in large scale visual recognition
    Patent number: 9158965
    Abstract: As visual recognition scales up to ever larger numbers of categories, maintaining high accuracy is increasingly difficult. Embodiment of the present invention include methods for optimizing accuracy-specificity trade-offs in large scale recognition where object categories form a semantic hierarchy consisting of many levels of abstraction.
    Type: Grant
    Filed: March 15, 2013
    Date of Patent: October 13, 2015
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Fei-Fei Li, Jia Deng, Jonathan Krause, Alexander C. Berg
  • Methods, systems, and media for automatically classifying face images
    Patent number: 8571332
    Abstract: Methods, systems, and media for automatically classifying face images are provided. In some embodiments, features of the face image to be classified for an attribute are selected, wherein each of the features corresponds to a different region of the face image and specifies one or more of a type of pixel data to be evaluated for the region, a normalization to be applied for the region, and an aggregation to be applied for the region. The face image is classified with respect to the attribute based on the features of the image, and the attribute and a confidence value are assigned to the face image based on the classifying. A query is received from a user, and the attribute is identified as corresponding to the query. The face image is determined as corresponding to the attribute, and the face image is identified to the user as corresponding to the query.
    Type: Grant
    Filed: March 19, 2009
    Date of Patent: October 29, 2013
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Neeraj Kumar, Peter N Belhumeur, Shree K Nayar, Alexander C Berg
  • Methods, Systems, and Media for Automatically Classifying Face Images
    Publication number: 20110243461
    Abstract: Methods, systems, and media for automatically classifying face images are provided. In some embodiments, features of the face image to be classified for an attribute are selected, wherein each of the features corresponds to a different region of the face image and specifies one or more of a type of pixel data to be evaluated for the region, a normalization to be applied for the region, and an aggregation to be applied for the region. The face image is classified with respect to the attribute based on the features of the image, and the attribute and a confidence value are assigned to the face image based on the classifying. A query is received from a user, and the attribute is identified as corresponding to the query. The face image is determined as corresponding to the attribute, and the face image is identified to the user as corresponding to the query.
    Type: Application
    Filed: March 19, 2009
    Publication date: October 6, 2011
    Inventors: Shree K Nayar, Peter N Belhumeur, Neeraj Kumar, Alexander C Berg