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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/20097
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dc.contributor.authorCastrillón-Santana, Modestoen_US
dc.contributor.authorDe Marsico, Mariaen_US
dc.contributor.authorNappi, Micheleen_US
dc.contributor.authorRiccio, Danielen_US
dc.date.accessioned2017-02-03T10:38:13Z-
dc.date.accessioned2018-06-18T06:45:54Z-
dc.date.available2017-02-03T10:38:13Z-
dc.date.available2018-06-18T06:45:54Z-
dc.date.issued2015en_US
dc.identifier.isbn978-3-319-23230-0en_US
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10553/20097-
dc.description.abstractIn this paper we focus on gender classification from face images, which is still a challenging task in unrestricted scenarios. This task can be useful in a number of ways, e.g., as a preliminary step in biometric identity recognition supported by demographic information.We compare a feature based approach with two score based ones. In the former, we stack a number of feature vectors obtained by different operators, and train a SVM based on them. In the latter, we separately compute the individual scores from the same operators, then either we feed them to a SVM, or exploit likelihood ratio based on a pairwise comparison of their answers.en_US
dc.languageengen_US
dc.publisherSpringeren_US
dc.relation.ispartofLecture Notes in Computer Science-
dc.sourceImage Analysis and Processing — ICIAP 2015. ICIAP 2015. Lecture Notes in Computer Science, v. 9279 LNCS, p. 15-26en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject.otherRecognitionen_US
dc.titleMEG: Multi-Expert Gender classification from face images in a demographics-balanced dataseten_US
dc.typeinfo:eu-repo/semantics/bookParten_US
dc.typeBook parten_US
dc.relation.conference18th International Conference on Image Analysis and Processing (ICIAP 2015)-
dc.identifier.doi10.1007/978-3-319-23231-7_2en_US
dc.identifier.scopus84944753505-
dc.identifier.isi000364991200002-
dc.contributor.authorscopusid22333278500-
dc.contributor.authorscopusid6508106114-
dc.contributor.authorscopusid6603906020-
dc.contributor.authorscopusid10939631000-
dc.description.lastpage26en_US
dc.description.firstpage15en_US
dc.relation.volume9279en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.type2Capítulo de libroen_US
dc.contributor.daisngid32145428-
dc.contributor.daisngid358632-
dc.contributor.daisngid232794-
dc.contributor.daisngid399991-
dc.identifier.eisbn978-3-319-23231-7-
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Castrillon-Santana, M-
dc.contributor.wosstandardWOS:De Marsico, M-
dc.contributor.wosstandardWOS:Nappi, M-
dc.contributor.wosstandardWOS:Riccio, D-
dc.date.coverdateEnero 2015en_US
dc.identifier.conferenceidevents120930-
dc.identifier.ulpgcSíen_US
dc.identifier.ulpgcSíen_US
dc.identifier.ulpgcSíen_US
dc.identifier.ulpgcSíen_US
dc.description.sjr0,328
dc.description.sjrqQ3
dc.description.spiqQ1
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate07-09-2015-
crisitem.event.eventsenddate11-09-2015-
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.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
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