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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/99999
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dc.contributor.authorWang, S.-
dc.contributor.authorLu, J.-
dc.contributor.authorGu, X.-
dc.contributor.authorShen, C.-
dc.contributor.authorXia, R.-
dc.contributor.authorYang, J.-
dc.date.issued2016-
dc.identifier.citationJournal of Visual Communication and Image Representation, 2016; 35:209-219-
dc.identifier.issn1047-3203-
dc.identifier.issn1095-9076-
dc.identifier.urihttp://hdl.handle.net/2440/99999-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilitySheng Wang, Jianfeng Lu, Xingjian Gu, Chunhua Shen, Rui Xia, Jingyu Yang-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2015 Elsevier Inc. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.jvcir.2015.12.001-
dc.subjectCanonical correlation analysis; feature fusion; unpaired data; manifold regularization; mutual subspace method; orthogonal projection; pattern recognition; handwritten recognition-
dc.titleCanonical principal angles correlation analysis for two-view data-
dc.typeJournal article-
dc.identifier.doi10.1016/j.jvcir.2015.12.001-
pubs.publication-statusPublished-
dc.identifier.orcidShen, C. [0000-0002-8648-8718]-
Appears in Collections:Aurora harvest 3
Computer Science publications

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