Generalized Exponential Bidirectional Fuzzy Associative Memory with Fuzzy Cardinality-Based Similarity Measures Applied to Face Recognition

Autor(es)

A.C. SOUZA ^[1] ; M.E. VALLE ^[2]

Afiliação do(s) autor(es)

^[1] Universidade Estadual de Campinas. Departamento de Matemática Aplicada - Brasil

^[2] Universidade Estadual de Campinas. Departamento de Matemática Aplicada - Brasil

• Tipo de documento: Artigo Científico
• Fonte: TEMA (São Carlos); v. 19, n. 2, p. 221-233, 2018-08-00.

Resumo

ABSTRACT Associative memories are biologically inspired models designed for the storage and recall by association. Such models aim to store a finite set of associations, called the fundamental memory set. The generalized exponential bidirectional fuzzy associative memory (GEB-FAM) is a heteroassociative memory model designed for the storage and recall of fuzzy sets. A similarity measure, that is, a function that indicates how much two fuzzy sets are equal, is at the core of a GEB-FAM model. In this paper, we present a detailed study on the use of cardinality-based similarity measures in the definition of a GEB-FAM. Moreover, we evaluate the performance of the GEB-FAMs defined using such measures in a face recognition problem. (AU)

• Processo FAPESP: 15/00745-1 - Um Estudo Sobre Memórias Associativas Recorrentes Exponenciais Fuzzy, Suas Generalizações e Aplicações.
• Beneficiário: Aline Cristina de Souza
• Modalidade de apoio: Bolsas no Brasil - Doutorado