Associative Memory Synthesis, Performance, Storage Capacity And Updating: New Heteroassociative Memory Results

David Casasent; Brian Telfer

doi:10.1117/12.942753

19 February 1988 Associative Memory Synthesis, Performance, Storage Capacity And Updating: New Heteroassociative Memory Results

David Casasent, Brian Telfer

Author Affiliations +

Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942753
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

Abstract

The storage capacity, noise performance, and synthesis of associative memories for image analysis are considered. Associative memory synthesis is shown to be very similar to that of linear discriminant functions used in pattern recognition. These lead to new associative memories and new associative memory synthesis and recollection vector encodings. Heteroassociative memories are emphasized in this paper, rather than autoassociative memories, since heteroassociative memories provide scene analysis decisions, rather than merely enhanced output images. The analysis of heteroassociative memories has been given little attention. Heteroassociative memory performance and storage capacity are shown to be quite different from those of autoassociative memories, with much more dependence on the recollection vectors used and less dependence on M/N. This allows several different and preferable synthesis techniques to be considered for associative memories. These new associative memory synthesis techniques and new techniques to update associative memories are included. We also introduce a new SNR performance measure that is preferable to conventional noise standard deviation ratios.

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David Casasent and Brian Telfer "Associative Memory Synthesis, Performance, Storage Capacity And Updating: New Heteroassociative Memory Results", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942753

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