Using alpha-beta associative memories to learn and recall RGB images

Cornelio Yáñez-Márquez, María Elena Cruz-Meza, Flavio Arturo Sánchez-Garfias, Itzamá López-Yáñez

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

8 Scopus citations

Abstract

In this paper, an algorithm which enables Alpha-Beta associative memories to leam and recall color images is presented. The latter is done even though these memories were originally designed by Yáñez-Márquez [1] to work only with binary patterns. Also, an experimental study on the proposed algorithm is presented, showing the efficiency of the new memories.

Original languageEnglish
Title of host publicationAdvances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
PublisherSpringer Verlag
Pages828-833
Number of pages6
EditionPART 3
ISBN (Print)9783540723943
DOIs
StatePublished - 2007
Event4th International Symposium on Neural Networks, ISNN 2007 - Nanjing, China
Duration: 3 Jun 20077 Jun 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume4493 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Symposium on Neural Networks, ISNN 2007
Country/TerritoryChina
CityNanjing
Period3/06/077/06/07

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