THOMAS J RYAN
Pilots at Louis Riv Way, Tucson, AZ

License number

Arizona A2623898

Issued Date

Nov 2016

Expiration Date

Nov 2017

Professional information

Method And Apparatus For Determining And Organizing Feature Vectors For Neural Network Recognition

US Patent:

5274714, Dec 28, 1993

Filed:

Jul 23, 1992

Appl. No.:

7/920188

Inventors:

Timothy L. Hutcheson - Los Gatos CA
Wilson Or - Santa Clara CA
Venkatesh Narayanan - Fremont CA
Subramaniam Mohan - Sunnyvale CA
Peter G. Wohlmut - Saratoga CA
Ramanujam Srinivasan - Sunnyvale CA
Bobby R. Hunt - Tucson AZ
Thomas W. Ryan - Tucson AZ

Assignee:

Neuristics, Inc. - Milpitas CA

International Classification:

G06K 962, G06K 946, G06K 968, G06K 936

US Classification:

382 15

Abstract:

A pattern recognition method and apparatus utilizes a neural network to recognize input images which are sufficiently similar to a database of previously stored images. Images are first processed and subjected to a Fourier transform which yields a power spectrum. An in-class to out-of-class study is performed on a typical collection of images in order to determine the most discriminatory regions of the Fourier transform. A feature vector consisting of the (most discriminatory) information from the power spectrum of the Fourier transform of the image is formed. Feature vectors are input to a neural network having preferably two hidden layers, input dimensionality of the number of elements in the feature vector and output dimensionality of the number of data elements stored in the database. Unique identifier numbers are preferably stored along with the feature vector. Application of a query feature vector to the neural network results in an output vector.

Pattern Recognition System

US Patent:

5465308, Nov 7, 1995

Filed:

Aug 25, 1993

Appl. No.:

8/111616

Inventors:

Assignee:

Datron/Transoc, Inc. - Simi Valley CA

International Classification:

G06K 962

US Classification:

382159

Abstract:

A method and apparatus under software control for pattern recognition utilizes a neural network implementation to recognize two dimensional input images which are sufficiently similar to a database of previously stored two dimensional images. Images are first image processed and subjected to a Fourier transform which yields a power spectrum. An in-class to out-of-class study is performed on a typical collection of images in order to determine the most discriminatory regions of the Fourier transform. A feature vector consisting of the highest order (most discriminatory) magnitude information from the power spectrum of the Fourier transform of the image is formed. Feature vectors are input to a neural network having preferably two hidden layers, input dimensionality of the number of elements in the feature vector and output dimensionality of the number of data elements stored in the database. Unique identifier numbers are preferably stored along with the feature vector. Application of a query feature vector to the neural network will result in an output vector.

Thomas G Ryan, Tucson AZ - Lawyer

Address:

Lewis and Roca LLP
South Church Ave STE 700, Tucson 85701

Licenses:

Arizona - Active 1986

Education:

University of California at Los Angeles School of LawDegree JD - Juris Doctor - LawGraduated 1975
Amherst CollegeDegree BA - Bachelor of ArtsGraduated 1972

Specialties:

Arbitration - 20%
Mediation - 20%
Real Estate - 20%
Commercial - 20%
Litigation - 20%

Associations:

Nevada State Bar - Member