Alpha-beta associative memories for gray level patterns

Cornelio Yáñez-Márquez; Luis P. Sánchez-Fernández; Itzamá López-Yáñez

doi:10.1007/11759966_120

Alpha-beta associative memories for gray level patterns

Cornelio Yáñez-Márquez, Luis P. Sánchez-Fernández, Itzamá López-Yáñez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

In this paper, we show how the binary Alpha-Beta associative memories, created and developed by Yáñez-Márquez, and introduced in [1-3], can be used to operate with gray level patterns (namely gray-level images), improving the results presented by Sossa et. al. in [4]. To achieve our goal, given a fundamental set of gray-level patterns, we find the binary representation of each entry, then we build a binary Alpha-Beta associative memory. After that, a given gray level pattern or a distorted version of it is recalled by converting its entries to a binary representation, then recalling it with the binary associative memory, and finally converting again this binary output pattern into a gray level pattern. Experimental results show the efficiency of the new memories. It is important to point out that this solution is more simple and elegant than that of the presented in [4].

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2006
Subtitle of host publication	Third International Symposium on Neural Networks, ISNN 2006, Proceedings
Publisher	Springer Verlag
Pages	818-823
Number of pages	6
ISBN (Print)	354034439X, 9783540344391
DOIs	https://doi.org/10.1007/11759966_120
State	Published - 2006
Event	3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks - Chengdu, China Duration: 28 May 2006 → 1 Jun 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3971 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks
Country/Territory	China
City	Chengdu
Period	28/05/06 → 1/06/06

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10.1007/11759966_120

Cite this

Yáñez-Márquez, C., Sánchez-Fernández, L. P., & López-Yáñez, I. (2006). Alpha-beta associative memories for gray level patterns. In Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings (pp. 818-823). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3971 LNCS). Springer Verlag. https://doi.org/10.1007/11759966_120

Yáñez-Márquez, Cornelio ; Sánchez-Fernández, Luis P. ; López-Yáñez, Itzamá. / Alpha-beta associative memories for gray level patterns. Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings. Springer Verlag, 2006. pp. 818-823 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper, we show how the binary Alpha-Beta associative memories, created and developed by Y{\'a}{\~n}ez-M{\'a}rquez, and introduced in [1-3], can be used to operate with gray level patterns (namely gray-level images), improving the results presented by Sossa et. al. in [4]. To achieve our goal, given a fundamental set of gray-level patterns, we find the binary representation of each entry, then we build a binary Alpha-Beta associative memory. After that, a given gray level pattern or a distorted version of it is recalled by converting its entries to a binary representation, then recalling it with the binary associative memory, and finally converting again this binary output pattern into a gray level pattern. Experimental results show the efficiency of the new memories. It is important to point out that this solution is more simple and elegant than that of the presented in [4].",

author = "Cornelio Y{\'a}{\~n}ez-M{\'a}rquez and S{\'a}nchez-Fern{\'a}ndez, {Luis P.} and Itzam{\'a} L{\'o}pez-Y{\'a}{\~n}ez",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Yáñez-Márquez, C , Sánchez-Fernández, LP & López-Yáñez, I 2006, Alpha-beta associative memories for gray level patterns. in Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3971 LNCS, Springer Verlag, pp. 818-823, 3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks, Chengdu, China, 28/05/06. https://doi.org/10.1007/11759966_120

Alpha-beta associative memories for gray level patterns. / Yáñez-Márquez, Cornelio ; Sánchez-Fernández, Luis P.; López-Yáñez, Itzamá.
Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings. Springer Verlag, 2006. p. 818-823 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3971 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Alpha-beta associative memories for gray level patterns

AU - Yáñez-Márquez, Cornelio

AU - Sánchez-Fernández, Luis P.

AU - López-Yáñez, Itzamá

PY - 2006

Y1 - 2006

N2 - In this paper, we show how the binary Alpha-Beta associative memories, created and developed by Yáñez-Márquez, and introduced in [1-3], can be used to operate with gray level patterns (namely gray-level images), improving the results presented by Sossa et. al. in [4]. To achieve our goal, given a fundamental set of gray-level patterns, we find the binary representation of each entry, then we build a binary Alpha-Beta associative memory. After that, a given gray level pattern or a distorted version of it is recalled by converting its entries to a binary representation, then recalling it with the binary associative memory, and finally converting again this binary output pattern into a gray level pattern. Experimental results show the efficiency of the new memories. It is important to point out that this solution is more simple and elegant than that of the presented in [4].

AB - In this paper, we show how the binary Alpha-Beta associative memories, created and developed by Yáñez-Márquez, and introduced in [1-3], can be used to operate with gray level patterns (namely gray-level images), improving the results presented by Sossa et. al. in [4]. To achieve our goal, given a fundamental set of gray-level patterns, we find the binary representation of each entry, then we build a binary Alpha-Beta associative memory. After that, a given gray level pattern or a distorted version of it is recalled by converting its entries to a binary representation, then recalling it with the binary associative memory, and finally converting again this binary output pattern into a gray level pattern. Experimental results show the efficiency of the new memories. It is important to point out that this solution is more simple and elegant than that of the presented in [4].

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DO - 10.1007/11759966_120

M3 - Contribución a la conferencia

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SN - 9783540344391

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Neural Networks - ISNN 2006

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Y2 - 28 May 2006 through 1 June 2006

ER -

Yáñez-Márquez C , Sánchez-Fernández LP , López-Yáñez I. Alpha-beta associative memories for gray level patterns. In Advances in Neural Networks - ISNN 2006: Third International Symposium on Neural Networks, ISNN 2006, Proceedings. Springer Verlag. 2006. p. 818-823. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11759966_120

Alpha-beta associative memories for gray level patterns

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