Median associative memories: New results

Humberto Sossa, Ricardo Barrón

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProgress in Pattern Recognition, Image Analysis and Applications - 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, Proceedings
Páginas1036-1046
Número de páginas11
DOI
EstadoPublicada - 2005
Evento10th Iberoamerican Congress on Pattern Recognition, CIARP 2005 - Havana, Cuba
Duración: 15 nov. 200518 nov. 2005

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen3773 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia10th Iberoamerican Congress on Pattern Recognition, CIARP 2005
País/TerritorioCuba
CiudadHavana
Período15/11/0518/11/05

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