Patents by Inventor Raphael A. Pelossof

Raphael A. Pelossof 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).

  • Systems, methods, and media for performing classification using a boosted classifier
    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
  • Systems, Methods, and Media for Performing Classification
    Publication number: 20110093416
    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: Application
    Filed: June 18, 2010
    Publication date: April 21, 2011
    Inventors: Raphael A. Pelossof, Michael Jones