Real-valued pattern classification based on extended associative memory

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, which is known to be only useful in the binary case. The proposed extension is tested in several scenarios with images of realistic objects.