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dc.contributor.authorZhang, Len_US
dc.contributor.authorXiang, Ten_US
dc.contributor.authorGong, Sen_US
dc.contributor.authorIEEEen_US
dc.date.accessioned2018-02-14T15:35:58Z
dc.date.available2017-06-01en_US
dc.date.issued2017en_US
dc.date.submitted2018-01-28T00:21:05.211Z
dc.identifier.issn1063-6919en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/32390
dc.format.extent3010 - 3019en_US
dc.titleLearning a Deep Embedding Model for Zero-Shot Learningen_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.
dc.identifier.doi10.1109/CVPR.2017.321en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000418371403010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US


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