Patents by Inventor John Carr Pearson

John Carr Pearson 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).

  • Method and apparatus for training a neural network to learn hierarchical representations of objects and to detect and classify objects with uncertain training data
    Patent number: 6018728
    Abstract: A signal processing apparatus and concomitant method for learning and integrating features from multiple resolutions for detecting and/or classifying objects are presented. Neural networks in a pattern tree structure with tree-structured descriptions of objects in terms of simple sub-patterns, are grown and trained to detect and integrate the sub-patterns. A plurality of objective functions and their approximations are presented to train the neural networks to detect sub-patterns of features of some class of objects. Objective functions for training neural networks to detect objects whose positions in the training data are uncertain and for addressing supervised learning where there are potential errors in the training data are also presented.
    Type: Grant
    Filed: February 7, 1997
    Date of Patent: January 25, 2000
    Assignee: Sarnoff Corporation
    Inventors: Clay Douglas Spence, John Carr Pearson, Paul Sajda