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Proceedings Paper

Dynamic subpattern matching with holographic associative memory
Author(s): Javed I. Khan
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Paper Abstract

This paper presents the result of our research on a new associative memory, which unlike any existing neural network based artificial associative memories, can dynamically localize (or focus) its search on any subset of the pattern space. This new ability now makes the power of associative computing available to a new class of pattern matching applications. Application areas which will particularly benefit from this model include (1) detection of small irregular patterns (medical diagnostics), (2) detection of tiny targets, (3) background varying target recognition, (4) visual example based content-based image retrieval, (5) robust adaptive control systems which needs to continue operating with small number of surviving sensors, in the face of post learning loss of sensors.

Paper Details

Date Published: 29 January 1999
PDF: 12 pages
Proc. SPIE 3584, 27th AIPR Workshop: Advances in Computer-Assisted Recognition, (29 January 1999); doi: 10.1117/12.339820
Show Author Affiliations
Javed I. Khan, Kent State Univ. (United States)


Published in SPIE Proceedings Vol. 3584:
27th AIPR Workshop: Advances in Computer-Assisted Recognition
Robert J. Mericsko, Editor(s)

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