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Person Re-identification in Identity Regression Space

dc.contributor.authorWang, Hen_US
dc.contributor.authorZhu, Xen_US
dc.contributor.authorGong, Sen_US
dc.contributor.authorXiang, Ten_US
dc.date.accessioned2018-08-16T13:22:20Z
dc.date.available2018-06-25en_US
dc.date.issued2018-12en_US
dc.date.submitted2018-08-12T13:50:22.170Z
dc.identifier.issn0920-5691en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/43510
dc.description.sponsorshipThis work was partially supported by the China Scholarship Council, Vision Semantics Ltd, Royal Society Newton Advanced Fellowship Programme (NA150459), and Innovate UK Industrial Challenge Project on Developing and Commercialising Intelligent Video Analytics Solutions for Public Safety (98111-571149).en_US
dc.format.extent1288 - 1310en_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF COMPUTER VISIONen_US
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
dc.subjectPerson re-identificationen_US
dc.subjectFeature embedding spaceen_US
dc.subjectRegressionen_US
dc.subjectIncremental learningen_US
dc.subjectActive learningen_US
dc.titlePerson Re-identification in Identity Regression Spaceen_US
dc.typeArticle
dc.rights.holder© The Author(s) 2018
dc.identifier.doi10.1007/s11263-018-1105-3en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000449286200003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue12en_US
pubs.notesNo embargoen_US
pubs.publication-statusPublisheden_US
pubs.volume126en_US
qmul.funderNewton Advanced Fellowship: Person Re-Identification::Royal Societyen_US
qmul.funderNewton Advanced Fellowship: Person Re-Identification::Royal Societyen_US


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