Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/102219
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dc.contributor.authorZhong, B.en
dc.contributor.authorYao, H.en
dc.contributor.authorChen, S.en
dc.contributor.authorJi, R.en
dc.contributor.authorChin, T.en
dc.contributor.authorWang, H.en
dc.date.issued2014en
dc.identifier.citationPattern Recognition, 2014; 47(3):1395-1410en
dc.identifier.issn0031-3203en
dc.identifier.issn1873-5142en
dc.identifier.urihttp://hdl.handle.net/2440/102219-
dc.description.abstractAbstract not availableen
dc.description.statementofresponsibilityB. Zhong, H. Yao, S. Chen, R. Ji, T.J. Chin, H. Wangen
dc.language.isoenen
dc.publisherElsevieren
dc.rightsCrown Copyright © 2013 Published by Elsevier Ltd. All rights reserveden
dc.source.urihttp://www.sciencedirect.com/science/article/pii/S0031320313004081en
dc.subjectVisual tracking; Weaklysupervisedlearning; Information fusion; Online learning; Adaptiveappearancemodel; Drift problem; Online evaluationen
dc.titleVisual tracking via weakly supervised learning from multiple imperfect oraclesen
dc.typeJournal articleen
dc.identifier.rmid0030024977en
dc.identifier.doi10.1016/j.patcog.2013.10.002en
dc.identifier.pubid71600-
pubs.library.collectionComputer Science publicationsen
pubs.library.teamDS11en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Computer Science publications

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