Patents by Inventor Mauro M. Maggioni

Mauro M. Maggioni 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).

  • Publication number: 20140114977
    Abstract: The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
    Type: Application
    Filed: December 19, 2013
    Publication date: April 24, 2014
    Applicants: PLAIN SIGHT SYSTEMS, INC., YALE UNIVERSITY
    Inventors: RONALD R. COIFMAN, ANDREAS C. COPPI, FRANK B. GESHWIND, STEPHANE S. LAFON, ANN B. LEE, MAURO M. MAGGIONI, FREDERICK J. WARNER, STEVEN ZUCKER, WILLIAM G. FATELEY
  • Publication number: 20130212104
    Abstract: The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
    Type: Application
    Filed: July 9, 2012
    Publication date: August 15, 2013
    Inventors: RONALD R. COIFMAN, ANDREAS C. COPPI, FRANK GESHWIND, STEPHANE S. LAFON, ANN B. LEE, MAURO M. MAGGIONI, FREDERICK J. WARNER, STEVEN ZUCKER, WILLIAM G. FATELY
  • Publication number: 20120047123
    Abstract: The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
    Type: Application
    Filed: November 3, 2011
    Publication date: February 23, 2012
    Inventors: RONALD R. COIFMAN, Andreas C. COPPI, Frank GESHWIND, Stephane S. LAFON, Ann B. LEE, Mauro M. MAGGIONI, Frederick J. WARNER, Steven ZUCKER, William G. FATELEY
  • Publication number: 20100274753
    Abstract: The present invention is directed to a method for inferring/estimating missing values in a data matrix d(q, r) having a plurality of rows and columns comprises the steps of: organizing the columns of the data matrix d(q, r) into affinity folders of columns with similar data profile, organizing the rows of the data matrix d(q, r) into affinity folders of rows with similar data profile, forming a graph Q of augmented rows and a graph R of augmented columns by similarity or correlation of common entries; and expanding the data matrix d(q, r) in terms of an orthogonal basis of a graph Q×R to infer/estimate the missing values in said data matrix d(q, r).on the diffusion geometry coordinates.
    Type: Application
    Filed: May 20, 2010
    Publication date: October 28, 2010
    Inventors: Edo Liberty, Steven Zucker, Yosi Keller, Mauro M. Maggioni, Ronald R. Coifman, Frank Geshwind
  • Publication number: 20090299975
    Abstract: The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.
    Type: Application
    Filed: March 3, 2009
    Publication date: December 3, 2009
    Inventors: RONALD R. COIFMAN, Andreas C. Coppi, Frank Geshwind, Stephane S. Lafon, Ann B. Lee, Mauro M. Maggioni, Frederick J. Warner, Steven Zucker, William G. Fateley
  • Patent number: 7562057
    Abstract: An improved method and system for classifying tissue samples comprises determining a tissue type classification based on spectral data of training samples of known target classification. Denoised spectral data is generated from the spectral data based on the tissue type classification. A classifier is then trained using the denoised spectral data to classify the tissue samples.
    Type: Grant
    Filed: September 19, 2005
    Date of Patent: July 14, 2009
    Assignee: Plain Sight Systems, Inc.
    Inventors: Mauro M. Maggioni, Ronald R. Coifman, Andreas C. Coppi, Gustave L. Davis, Richard A. Deverse, William G. Fateley, Frank Geshwind, Frederick J. Warner