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dc.contributor.authorDong, Len_US
dc.contributor.authorFeng, Nen_US
dc.contributor.authorZhang, Qen_US
dc.date.accessioned2016-07-15T13:36:29Z
dc.date.available2016-02-17en_US
dc.date.issued2016-11en_US
dc.date.submitted2016-07-06T10:13:16.483Z
dc.identifier.issn0031-3203en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/13514
dc.description.sponsorshipThis work was supported in part by the National Natural Science Foundation of China under Grant l61370149, in part by the Fundamental Research Funds for the Central Universities(lZYGX2013J083), and in part by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry.en_US
dc.format.extent282 - 291en_US
dc.relation.ispartofPATTERN RECOGNITIONen_US
dc.rightsdoi:10.1016/j.patcog.2016.03.005
dc.subjectImage Segmentationen_US
dc.subjectMRF Modelen_US
dc.subjectLabel Inferenceen_US
dc.titleLSI: Latent semantic inference for natural image segmentationen_US
dc.typeArticle
dc.identifier.doi10.1016/j.patcog.2016.03.005en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000383007800025&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume59en_US


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