Dynamic subpattern matching with holographic associative memory

Javed I. Khan

doi:10.1117/12.339820

29 January 1999 Dynamic subpattern matching with holographic associative memory

Javed I. Khan

Proceedings Volume 3584, 27th AIPR Workshop: Advances in Computer-Assisted Recognition; (1999) https://doi.org/10.1117/12.339820
Event: The 27th AIPR Workshop: Advances in Computer-Assisted Recognition, 1998, Washington, DC, United States

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.

Citation Download Citation

Javed I. Khan "Dynamic subpattern matching with holographic associative memory", Proc. SPIE 3584, 27th AIPR Workshop: Advances in Computer-Assisted Recognition, (29 January 1999); https://doi.org/10.1117/12.339820

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