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Max-plus and min-plus projection autoassociative morphological memories and their compositions for pattern
Alex Santana Dos Santos1, Marcos Eduardo Valle2
1Exact and Technological Science Center, Federal University of the Recôncavo of Bahia, Rua Rui Barbosa, 710, Centro - Cruz das Almas-BA CEP 44.380-000, Brazil.
Abstract:
Autoassociative morphological memories (AMMs) are robust and computationally efficient memory models with unlimited storage capacity. In this paper, we present the max-plus and min-plus projection autoassociative morphological memories (PAMMs) as well as their compositions. Briefly, the max-plus PAMM yields the largest max-plus combination of the stored vectors which is less than or equal to the input. Dually, the vector recalled by the min-plus PAMM corresponds to the smallest min-plus combination which is larger than or equal to the input. Apart from unlimited absolute storage capacity and one step retrieval, PAMMs and their compositions exhibit an excellent noise tolerance. Furthermore, the new memories yielded quite promising results in classification problems with a large number of features and classes.
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