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
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;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2006
Conference_Location :
Cuernavaca
Print_ISBN :
0-7695-2569-5
DOI :
10.1109/CERMA.2006.96
