WO2006042142A3 - Cognitive memory and auto-associative neural network based pattern recognition and searching - Google Patents

Cognitive memory and auto-associative neural network based pattern recognition and searching Download PDF

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Publication number
WO2006042142A3
WO2006042142A3 PCT/US2005/036217 US2005036217W WO2006042142A3 WO 2006042142 A3 WO2006042142 A3 WO 2006042142A3 US 2005036217 W US2005036217 W US 2005036217W WO 2006042142 A3 WO2006042142 A3 WO 2006042142A3
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WO
WIPO (PCT)
Prior art keywords
pattern
cognitive memory
stored
sought
query
Prior art date
Application number
PCT/US2005/036217
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French (fr)
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WO2006042142A2 (en
Inventor
Bernard Widrow
Juan Carlos Aragon
Brian Mitchell Percival
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Bernard Widrow
Juan Carlos Aragon
Brian Mitchell Percival
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Application filed by Bernard Widrow, Juan Carlos Aragon, Brian Mitchell Percival filed Critical Bernard Widrow
Publication of WO2006042142A2 publication Critical patent/WO2006042142A2/en
Publication of WO2006042142A3 publication Critical patent/WO2006042142A3/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S706/00—Data processing: artificial intelligence
    • Y10S706/902—Application using ai with detail of the ai system
    • Y10S706/934—Information retrieval or Information management

Abstract

Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. Retrieval system of cognitive memory uses autoassociative neural networks and techniques for pre-processing query pattern to establish relationship between query pattern and sought stored pattern, to locate sought pattern, and to retrieve it and ancillary data. Cognitive memory, when connected to computer or information appliance introduces computational architecture that applies to systems and methods for navigation, location and recognition of objects in images, character recognition, facial recognition, medical analysis and diagnosis, video image analysis, and to photographic search engines that when prompted with a query photograph containing faces and objects will retrieve related photographs stored in computer or other information appliance, and will identify URL's of related photographs and documents stored on the World Wide Web.
PCT/US2005/036217 2004-10-07 2005-10-07 Cognitive memory and auto-associative neural network based pattern recognition and searching WO2006042142A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US61724504P 2004-10-07 2004-10-07
US60/617,245 2004-10-07

Publications (2)

Publication Number Publication Date
WO2006042142A2 WO2006042142A2 (en) 2006-04-20
WO2006042142A3 true WO2006042142A3 (en) 2009-04-02

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US (3) US7333963B2 (en)
WO (1) WO2006042142A2 (en)

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