Patents by Inventor Daniele C. Struppa

Daniele C. Struppa 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).

  • Functional dissipation classification of retinal images
    Patent number: 7724933
    Abstract: Retinal images can be classified by selecting a classifier and a figure of merit for quantifying classification quality; selecting a transform to generate features from input data; using a recursive process of functional dissipation to generate dissipative features from the features generated according to the transform; computing the figure of merit for all of the dissipative features generated; searching for at least one of the dissipative features that maximize the figure of merit on a training set; and classifying a test set with the classifier by using the “at least one of the dissipative features.
    Type: Grant
    Filed: March 28, 2008
    Date of Patent: May 25, 2010
    Assignee: George Mason Intellectual Properties, Inc.
    Inventors: Domenico Napoletani, Timothy D. Sauer, Daniele C. Struppa
  • Functional Dissipation Classification of Retinal Images
    Publication number: 20080240581
    Abstract: Retinal images can be classified by selecting a classifier and a figure of merit for quantifying classification quality; selecting a transform to generate features from input data; using a recursive process of functional dissipation to generate dissipative features from the features generated according to the transform; computing the figure of merit for all of the dissipative features generated; searching for at least one of the dissipative features that maximize the figure of merit on a training set; and classifying a test set with the classifier by using the “at least one of the dissipative features.
    Type: Application
    Filed: March 28, 2008
    Publication date: October 2, 2008
    Inventors: Domenico Napoletani, Timothy D. Sauer, Daniele C. Struppa
  • Denoising mechanism for speech signals using embedded thresholds and an analysis dictionary
    Patent number: 7424463
    Abstract: A denoising mechanism uses chosen signal classes and selected analysis dictionaries. The chosen signal class includes a collection of signals. The analysis dictionaries describe signals. The embedding threshold value is initially determined for a training set of signals in the chosen signal class. The update signal is initialized with a signal corrupted by noise.
    Type: Grant
    Filed: April 15, 2005
    Date of Patent: September 9, 2008
    Assignees: George Mason Intellectual Properties, Inc., University of Maryland
    Inventors: Domenico Napoletani, Carlos A. Berenstein, Timothy Sauer, Daniele C. Struppa, David Walnut