Median associative memories: new results

Authors:
Humberto Sossa;Ricardo Barrón
Affiliations:
Centro de Investigación en Computación-IPN, Mexico City, Mexico;Centro de Investigación en Computación-IPN, Mexico City, Mexico
Venue:
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2005

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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.