1. accedaCRIS
  2. Publicaciones
  3. Actas de congresos
Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/15087
Campo DC Valoridioma
dc.contributor.authorCastrilloń-Santana, Modesto-
dc.contributor.authorLorenzo-Navarro, Javier-
dc.contributor.authorRamoń-Balmaseda, Enrique-
dc.date.accessioned2015-11-24T15:38:34Z-
dc.date.accessioned2018-06-15T09:21:33Z-
dc.date.available2015-11-24T15:38:34Z-
dc.date.available2018-06-15T09:21:33Z-
dc.date.issued2013es
dc.identifier.isbn9783642418266
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10553/15087-
dc.description.abstractIn this paper, we focus on gender recognition in challenging large scale scenarios. Firstly, we review the literature results achieved for the problem in large datasets, and select the currently hardest dataset: The Images of Groups. Secondly, we study the extraction of features from the face and its local context to improve the recognition accuracy. Diff erent descriptors, resolutions and classfii ers are studied, overcoming previous literature results, reaching an accuracy of 89.8%.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. 8259 LNCS, p. 270-277es
dc.subject120304 Inteligencia artificiales
dc.subject.otherGender recognitiones
dc.subject.otherLBPes
dc.subject.otherHOGes
dc.titleImproving gender classification accuracy in the wildes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference18th Iberoamerican Congress on Pattern Recognition, CIARP 2013
dc.identifier.doi10.1007/978-3-642-41827-3_34
dc.identifier.scopus84893160289
dc.contributor.authorscopusid22333278500
dc.contributor.authorscopusid15042453800
dc.contributor.authorscopusid55348020700
dc.identifier.absysnet716518-
dc.description.lastpage277
dc.description.firstpage270
dc.relation.volume8259 LNCS
dc.investigacionIngeniería y Arquitecturaes
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Actas de congresoses
dc.date.coverdateDiciembre 2013
dc.identifier.conferenceidevents121500
dc.identifier.ulpgcSíes
dc.description.sjr0,329
dc.description.sjrqQ3
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate20-11-2013-
crisitem.event.eventsenddate23-11-2013-
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.orcid0000-0002-8673-2725-
crisitem.author.orcid0000-0002-2834-2067-
crisitem.author.orcid0000-0002-2768-1729-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
crisitem.author.fullNameLorenzo Navarro, José Javier-
crisitem.author.fullNameDe Ramón Balmaseda, Enrique José-
Colección:Actas de congresos
miniatura
Postprint
Adobe PDF (595,98 kB)
Vista resumida

Citas SCOPUSTM   

18
actualizado el 17-nov-2024

Visitas

80
actualizado el 27-ene-2024

Descargas

242
actualizado el 27-ene-2024

Google ScholarTM

Verifica

Altmetric


Comparte


Exporta metadatos


Este elemento está sujeto a una licencia Licencia Creative Commons Creative Commons