Median associative memories: New results

Humberto Sossa, Ricardo Barrón

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationProgress in Pattern Recognition, Image Analysis and Applications - 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, Proceedings
Pages1036-1046
Number of pages11
DOIs
StatePublished - 2005
Event10th Iberoamerican Congress on Pattern Recognition, CIARP 2005 - Havana, Cuba
Duration: 15 Nov 200518 Nov 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3773 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Iberoamerican Congress on Pattern Recognition, CIARP 2005
Country/TerritoryCuba
CityHavana
Period15/11/0518/11/05

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