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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
A.C. SOUZA [1] ; M.E. VALLE [2]
Total Authors: 2
Affiliation:
[1] Universidade Estadual de Campinas. Departamento de Matemática Aplicada - Brasil
[2] Universidade Estadual de Campinas. Departamento de Matemática Aplicada - Brasil
Total Affiliations: 2
Document type: Journal article
Source: TEMA (São Carlos); v. 19, n. 2, p. 221-233, 2018-08-00.
Abstract

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)

FAPESP's process: 15/00745-1 - A Study on Recurrent Exponential Fuzzy Associative Memories, Their Generalizations, and Applications
Grantee:Aline Cristina de Souza
Support Opportunities: Scholarships in Brazil - Doctorate