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.
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References
Yáñez-Márquez, C.: Associative Memories Based on Order Relations and Binary Operators (In Spanish). PhD Thesis. Center for Computing Research, México (2002)
Kohonen, T.: Correlation Matrix Memories. IEEE Transactions on Computers 21(4), 353–359 (1972)
Kohonen, T.: Self-Organization and Associative Memory. Springer, Heidelberg (1989)
Hassoun, M.H.: Associative Neural Memories. Oxford University Press, New York (1993)
Ritter, G.X., Sussner, P., Diaz-de-Leon, J.L.: Morphological Associative Memories. IEEE Transactions on Neural Networks 9, 281–293 (1998)
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© 2007 Springer Berlin Heidelberg
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Yáñez-Márquez, C., Cruz-Meza, M.E., Sánchez-Garfias, F.A., López-Yáñez, I. (2007). Using Alpha-Beta Associative Memories to Learn and Recall RGB Images. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72395-0_101
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DOI: https://doi.org/10.1007/978-3-540-72395-0_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72394-3
Online ISBN: 978-3-540-72395-0
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