Patents by Inventor Leonid Hrebien

Leonid Hrebien 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).

  • Apparatus and method for removing non-discriminatory indices of an indexed dataset
    Patent number: 8010296
    Abstract: The present invention provides a device and method for removing non-discriminatory indices of an indexed dataset using ensemble statistics analysis. The device may include a data removal module (320) for removing non-discriminatory indices. For example, the data removal module (320) may comprise a common characteristic removal module and/or a noise removal module. In addition, the data analyzer (300) may comprise a normalization means (310) for normalizing the indexed data. The method of the present invention comprises the steps of identifying and removing portions of the set of data having insufficient discriminatory power based on ensemble statistics of the set of indexed data. For example, the method may include the steps of identifying and removing common characteristics and/or noise portions of the set of indexed data. In addition, the method may comprise the step of normalizing the indexed data either prior to or after the step of removing portions of the set of data.
    Type: Grant
    Filed: December 18, 2003
    Date of Patent: August 30, 2011
    Assignee: Drexel University
    Inventors: Lit-Hsin Loo, Leonid Hrebien, Moshe Kam
  • Apparatus and method for removing non-discriminatory indices of an indexed dataset
    Publication number: 20070009160
    Abstract: The present invention provides a device and method for removing non-discriminatory indices of an indexed dataset using ensemble statistics analysis. The device may include a data removal module (320) for removing non-discriminatory indices. For example, the data removal module (320) may comprise a common characteristic removal module and/or a noise removal module. In addition, the data analyzer (300) may comprise a normalization means (310) for normalizing the indexed data. The method of the present invention comprises the steps of identifying and removing portions of the set of data having insufficient discriminatory power based on ensemble statistics of the set of indexed data. For example, the method may include the steps of identifying and removing common characteristics and/or noise portions of the set of indexed data. In addition, the method may comprise the step of normalizing the indexed data either prior to or after the step of removing portions of the set of data.
    Type: Application
    Filed: December 18, 2003
    Publication date: January 11, 2007
    Inventors: Lit-Hsin Loo, Leonid Hrebien, Moshe Kam