Patents by Inventor Irina Gladkova

Irina Gladkova 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).

  • Selectively lossy, lossless, and/or error robust data compression method
    Patent number: 7907784
    Abstract: Lossless compression techniques provide efficient compression of hyperspectral satellite data. The present invention combines the advantages of a clustering with linear modeling. A number of visualizations are presented, which help clarify why the approach of the present invention is particularly effective on this dataset. At each stage, the algorithm achieves an efficient grouping of the data points around a relatively small number of lines in a very large dimensional data space. The parametrization of these lines is very efficient, which leads to efficient descriptions of data points. The method of the present invention yields compression ratios that compare favorably with what is currently achievable by other approaches.
    Type: Grant
    Filed: July 9, 2007
    Date of Patent: March 15, 2011
    Assignee: The United States of America as represented by the Secretary of the Commerce
    Inventors: Irina Gladkova, Michael Grossberg, Leonid Roytman
  • LOSSLESS COMPRESSION ALGORITHM FOR HYPERSPECTRAL DATA
    Publication number: 20090018801
    Abstract: Lossless compression techniques provide efficient compression of hyperspectral satellite data. The present invention combines the advantages of a clustering with linear modeling. A number of visualizations are presented, which help clarify why the approach of the present invention is particularly effective on this dataset. At each stage, the algorithm achieves an efficient grouping of the data points around a relatively small number of lines in a very large dimensional data space. The parametrization of these lines is very efficient, which leads to efficient descriptions of data points. The method of the present invention yields compression ratios that compare favorably with what is currently achievable by other approaches.
    Type: Application
    Filed: July 9, 2007
    Publication date: January 15, 2009
    Inventors: Irina Gladkova, Michael Grossberg, Leonid Roytman