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dc.contributor.authorLi, Ken_US
dc.contributor.authorPang, Ken_US
dc.contributor.authorSong, Y-Zen_US
dc.contributor.authorHospedales, TMen_US
dc.contributor.authorXiang, Ten_US
dc.contributor.authorZhang, Hen_US
dc.date.accessioned2017-09-13T15:15:58Z
dc.date.available2017-08-14en_US
dc.date.issued2017-12en_US
dc.date.submitted2017-08-29T21:56:35.878Z
dc.identifier.issn1057-7149en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/25675
dc.format.extent5908 - 5921en_US
dc.relation.ispartofIEEE TRANSACTIONS ON IMAGE PROCESSINGen_US
dc.subjectSketch-based image retrievalen_US
dc.subjectinstance-levelen_US
dc.subjectsubspace alignmenten_US
dc.subjectfine-graineden_US
dc.subjectcross-modalen_US
dc.subjectdataseten_US
dc.titleSynergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrievalen_US
dc.typeArticle
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/TIP.2017.2745106en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000412433000022&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue12en_US
pubs.notesNo embargoen_US
pubs.publication-statusPublisheden_US
pubs.volume26en_US


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