Real-Valued Pattern Classification Based on Extended Associative Memory

Authors:
Humberto Sossa;Ricardo Barron;Roberto A. Vazquez
Affiliations:
Centro de Investigación en Computación-IPN;Centro de Investigación en Computación-IPN;Centro de Investigación en Computación-IPN
Venue:
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
Year:
2004

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Abstract

We propose an associative model for the classification of real-valued patterns. It is an extension of well-known associative model proposed by K. Steinbuch in 1961 [1], which is known to be only useful in the binary case. The proposed extension is tested in several scenarios with images of realistic objects.