Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/15085
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dc.contributor.authorRamón-Balmaseda, Enrique-
dc.contributor.authorLorenzo-Navarro, Javier-
dc.contributor.authorCastrillón-Santana, Modesto-
dc.date.accessioned2015-11-24T15:30:08Z-
dc.date.accessioned2018-06-15T09:21:32Z-
dc.date.available2015-11-24T15:30:08Z-
dc.date.available2018-06-15T09:21:32Z-
dc.date.issued2012es
dc.identifier.isbn9783642332746-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10553/15085-
dc.description.abstractIn this paper, we address the challenge of gender classi - cation using large databases of images with two goals. The rst objective is to evaluate whether the error rate decreases compared to smaller databases. The second goal is to determine if the classi er that provides the best classi cation rate for one database, improves the classi cation results for other databases, that is, the cross-database performance.es
dc.languageenges
dc.relation.ispartofLecture Notes in Computer Science-
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7441 LNCS, p. 74-81es
dc.subject120304 Inteligencia artificiales
dc.subject.otherGender Recognitiones
dc.subject.otherLocal Binary Patternes
dc.subject.otherLarge Facial Image Databaseses
dc.titleGender classification in large databaseses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2012
dc.identifier.doi10.1007/978-3-642-33275-3_9
dc.identifier.scopus84865604908-
dc.contributor.authorscopusid55348020700-
dc.contributor.authorscopusid15042453800-
dc.contributor.authorscopusid22333278500-
dc.identifier.absysnet716508-
dc.description.lastpage81-
dc.description.firstpage74-
dc.relation.volume7441 LNCS-
dc.investigacionIngeniería y Arquitecturaes
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Actas de congresoses
dc.date.coverdateSeptiembre 2012
dc.identifier.conferenceidevents121430
dc.identifier.ulpgces
dc.description.sjr0,323
dc.description.sjrqQ3
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-2768-1729-
crisitem.author.orcid0000-0002-2834-2067-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameDe Ramón Balmaseda, Enrique José-
crisitem.author.fullNameLorenzo Navarro, José Javier-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
crisitem.event.eventsstartdate03-09-2012-
crisitem.event.eventsenddate06-09-2012-
Appears in Collections:Actas de congresos
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