Cognitive memory and auto-associative neural network based...

Data processing: artificial intelligence – Neural network – Learning task

Reexamination Certificate

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C706S020000, C706S025000, C706S934000, C382S155000, C382S158000, C382S159000

Reexamination Certificate

active

07991714

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.

REFERENCES:
Jacobs,C.E. et al. “Fast Multiresolution Image Querying” Proceedings of SIGGRAPH 95 (Los Angeles, California, Aug. 6-11, 1995). In Computer Graphics Proceedings, Annual Conference Series, 1995, ACM SIGGRAPH. 11 pages.
Kulkarni,S. et al. “An Intelligent Hybrid Approach for Content-Based Image Retrieval”, International Journal of Computational Intelligence and Applications, vol. 2, No. 2. Imperial College Press. 2002. pp. 173-184.
Zhang,B-L. et al. “Face Recognition by Applying Wavelet Subband Representation and Kernel Associative Memory”, IEEE Transactions on Neural Networks, vol. 15, No. 1, Jan. 2004. pp. 166-177.

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