Using binary decision diagrams to efficiently represent alpha-beta associative memories

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

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 -will be able to merge two important and very active areas of contemporary scientific research, and improve on both models.

Idioma originalInglés
Título de la publicación alojadaProceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2006
Páginas172-177
Número de páginas6
DOI
EstadoPublicada - 2006
EventoElectronics, Robotics and Automotive Mechanics Conference, CERMA 2006 - Cuernavaca, Morelos, México
Duración: 26 sep. 200629 sep. 2006

Serie de la publicación

NombreProceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2006
Volumen1

Conferencia

ConferenciaElectronics, Robotics and Automotive Mechanics Conference, CERMA 2006
País/TerritorioMéxico
CiudadCuernavaca, Morelos
Período26/09/0629/09/06

Huella

Profundice en los temas de investigación de 'Using binary decision diagrams to efficiently represent alpha-beta associative memories'. En conjunto forman una huella única.

Citar esto