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Restricted Boltzmann Machines for Gender Classification

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Restricted Boltzmann Machines for Gender Classification

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Mansanet Sandin, J.; Albiol Colomer, A.; Paredes Palacios, R.; Villegas, M.; Albiol Colomer, AJ. (2014). Restricted Boltzmann Machines for Gender Classification. Lecture Notes in Computer Science. 8814:274-281. doi:10.1007/978-3-319-11758-4_30

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Metadatos del ítem

Título: Restricted Boltzmann Machines for Gender Classification
Autor: Mansanet Sandín, Jorge Albiol Colomer, Alberto Paredes Palacios, Roberto Villegas, Mauricio Albiol Colomer, Antonio José
Entidad UPV: Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Fecha difusión:
Resumen:
This paper deals with automatic feature learning using a generative model called Restricted Boltzmann Machine (RBM) for the problem of gender recognition in face images. The RBM is presented together with some practical ...[+]
Palabras clave: Representation learning , RBM , Gender classification
Derechos de uso: Reserva de todos los derechos
Fuente:
Lecture Notes in Computer Science. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-11758-4_30
Editorial:
Springer Verlag (Germany)
Versión del editor: http://dx.doi.org/10.1007/978-3-319-11758-4_30
Tipo: Artículo

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