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.
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