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A high performance k-NN classifier using a binary correlation matrix memory

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Title of host publicationADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 11
DatePublished - 1999
Pages713-719
Number of pages7
PublisherM I T PRESS
Place of PublicationCAMBRIDGE
EditorsMS Kearns, SA Solla, DA Cohn
Original languageEnglish
ISBN (Print)0-262-11245-0

Abstract

This paper presents a novel and fast R-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM input requirements. A hardware implementation of the CMM is described, which gives over 200 times the speed of a current mid-range workstation, and is scaleable to very large problems. When tested on several benchmarks and compared with a simple k-NN method, the CMM classifier gave less than 1% lower accuracy and over 4 and 12 times speed-up in software and hardware respectively.

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