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Median associative memories: New results

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2005) 3773 LNCS 1036-1046
DOI: 10.1007/11578079_106
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Abstract

Median associative memories (MEDMEMs) first described in [1] have proven to be efficient tools for the reconstruction of patterns corrupted with mixed noise. First formal conditions under which these tools are able to reconstruct patterns either from the fundamental set of patterns and from distorted versions of them were given in [1]. In this paper, new more accurate conditions are provided that assure perfect reconstruction. Numerical and real examples are also given. © Springer-Verlag Berlin Heidelberg 2005.

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Sossa, H., & Barrón, R. (2005). Median associative memories: New results. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3773 LNCS, pp. 1036–1046). https://doi.org/10.1007/11578079_106

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