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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/54425

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Title: Restricted Boltzmann Machines for Gender Classification
Author: Mansanet Sandín, Jorge Albiol Colomer, Alberto Paredes Palacios, Roberto Villegas, Mauricio Albiol Colomer, Antonio José
UPV Unit: 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
Issued date:
Abstract:
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 ...[+]
Subjects: Representation learning , RBM , Gender classification
Copyrigths: Reserva de todos los derechos
Source:
Lecture Notes in Computer Science. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-11758-4_30
Publisher:
Springer Verlag (Germany)
Publisher version: http://dx.doi.org/10.1007/978-3-319-11758-4_30
Type: Artículo

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