DocumentCode
458666
Title
Using Binary Decision Diagrams to Efficiently Represent Alpha-Beta Associative Memories
Author
Lopez-Yánez, Itzamá ; Yanez-Marquez, Cornelio
Author_Institution
Centra de Investigation en Comput., Instituto Politecnico Nacional, Mexico City
Volume
1
fYear
2006
fDate
Sept. 2006
Firstpage
172
Lastpage
177
Abstract
Binary decision diagrams have been successful forms to represent Boolean functions, and associative memories have been one of the most important models for pattern recognition, being the alpha-beta associative memories the best available model today. In this paper we propose the use of binary decision diagrams to represent alpha-beta associative memories. By doing so, we are able to merge two important and very active areas of contemporary scientific research, and improve on both models
Keywords
binary decision diagrams; content-addressable storage; pattern recognition; Boolean function; alpha-beta associative memory; binary decision diagram; pattern recognition; Associative memory; Binary decision diagrams; Boolean algebra; Boolean functions; Data structures; Digital circuits; Image coding; Laboratories; Pattern recognition; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Robotics and Automotive Mechanics Conference, 2006
Conference_Location
Cuernavaca
Print_ISBN
0-7695-2569-5
Type
conf
DOI
10.1109/CERMA.2006.96
Filename
4019733
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