Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Artículo

Compressing arrays of classifiers using Volterra-Neural Network: application to face recognition

Rubiolo, María FlorenciaIcon ; Stegmayer, GeorginaIcon ; Milone, Diego HumbertoIcon
Fecha de publicación: 07/2013
Editorial: Springer
Revista: Neural Computing And Applications
ISSN: 0941-0643
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ciencias de la Información y Bioinformática

Resumen

Model compression is required when large models are used, for example, for a classification task, but there are transmission, space, time or computing constraints that have to be fulfilled. Multilayer Perceptron (MLP) models have been traditionally used as classifiers. Depending on the problem, they may need a large number of parameters (neuron functions, weights and bias) to obtain an acceptable performance. This work proposes a technique to compress an array of MLPs, through the weights of a Volterra-Neural Network (Volterra-NN), maintaining its classification performance. It will be shown that several MLP topologies can be well-compressed into the first, second and third order (Volterra-NN) outputs. The obtained results show that these outputs can be used to build an array of (Volterra-NN) that needs significantly less parameters than the original array of MLPs, furthermore having the same high accuracy. The Volterra-NN compression capabilities were tested for solving a face recognition problem. Experimental results are presented on two well-known face databases: ORL and FERET.
Palabras clave: Model Compression , Array of Neural Networks , Volterra-Neural Network , Face Recognition
Ver el registro completo
 
Archivos asociados
Tamaño: 1.261Mb
Formato: PDF
.
Solicitar
Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/14571
URL: http://link.springer.com/article/10.1007/s00521-012-1129-5
DOI: http://dx.doi.org/10.1007/s00521-012-1129-5
Colecciones
Articulos(CCT - SANTA FE)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Citación
Rubiolo, María Florencia; Stegmayer, Georgina; Milone, Diego Humberto; Compressing arrays of classifiers using Volterra-Neural Network: application to face recognition; Springer; Neural Computing And Applications; 23; 6; 7-2013; 1687-1701
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES