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dc.contributor.authorBianconi, Fen_US
dc.contributor.authorSmeraldi, Fen_US
dc.contributor.authorAbdollahyan, Men_US
dc.contributor.authorXiao, Pen_US
dc.date.accessioned2017-04-07T13:30:40Z
dc.date.available2016-08-31en_US
dc.date.issued2016en_US
dc.date.submitted2017-03-31T17:57:07.985Z
dc.identifier.issn2154-512Xen_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/22456
dc.subjectGender recognitionen_US
dc.subjectSkinen_US
dc.subjectTextureen_US
dc.subjectSVMen_US
dc.titleOn the use of skin texture features for gender recognition: an experimental evaluationen_US
dc.typeConference Proceeding
dc.rights.holder© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000393589800070&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNo embargoen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Computer Science - Research Students
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.organisational-group/Queen Mary University of London/Faculty Reporting - Research Students
pubs.organisational-group/Queen Mary University of London/Faculty Reporting - Research Students/Faculty of Science & Engineering PGRs
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 11
pubs.publication-statusPublisheden_US


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