Using Alpha-Beta Associative Memories to Learn and Recall RGB Images

Authors:
Cornelio Yáñez-Márquez;María Elena Cruz-Meza;Flavio Arturo Sánchez-Garfias;Itzamá López-Yáñez
Affiliations:
Centro de Investigación en Computación, Instituto Politécnico Nacional, Laboratorio de Inteligencia Artificial, Av. Juan de Dios Bátiz s/n, México, D.F., 07738, Méxic ...;Centro de Investigación en Computación, Instituto Politécnico Nacional, Laboratorio de Inteligencia Artificial, Av. Juan de Dios Bátiz s/n, México, D.F., 07738, Méxic ...;Centro de Investigación en Computación, Instituto Politécnico Nacional, Laboratorio de Inteligencia Artificial, Av. Juan de Dios Bátiz s/n, México, D.F., 07738, Méxic ...;Centro de Investigación en Computación, Instituto Politécnico Nacional, Laboratorio de Inteligencia Artificial, Av. Juan de Dios Bátiz s/n, México, D.F., 07738, Méxic ...
Venue:
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Year:
2007

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Abstract

In this paper, an algorithm which enables Alpha-Beta associative memories to learn 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.