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Type: Artigo
Title: A fast and robust max-C projection fuzzy autoassociative memory with application for face recognition
Author: Santos, Alex Santana dos
Valle, Marcos Eduardo
Abstract: Max-C projection autoassociative fuzzy memories (max-C PAFMs) are memory models designed for the storage and recall of fuzzy sets. In few words, a max-C PAFM projects the input fuzzy set into the family of all max-C combinations of the stored items. In this paper, we focus on a particular max-C PAFM called Zadeh max-C PAFM. The Zadeh max-C PAFM is the most robust max-C PAFM with respect to dilative noise. Furthermore, by masking the noise contained in a corrupted input, it exhibits excellent tolerance to any kind of noise. Besides introducing the Zadeh max-C PAFM, in this paper we point out a potential application of the Zadeh max-C PAFM for face recognition.
Subject: Memória associativa
Redes neurais (Computação)
Morfologia matemática
Lógica fuzzy
Reconhecimento de padrões
Associative memory
Neural networks (Computer science)
Mathematical morphology
Fuzzy logic
Pattern recognition
Country: Estados Unidos
Editor: American Institute of Mathematical Sciences
Rights: fechado
Identifier DOI: 10.1109/BRACIS.2017.57
Date Issue: 2017
Appears in Collections:IMECC - Artigos e Outros Documentos

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