Low-rank tensor subspace learning for rgb-d action recognition

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dc.contributor.authorJia, Chengcheng
dc.contributor.authorFu, Yun
dc.date.accessioned2018-03-26T11:40:33Z
dc.date.available2018-03-26T11:40:33Z
dc.date.issued2016
dc.descriptionp.4641 - 4652fr_FR
dc.identifier.issn1057-7149
dc.identifier.urihttp://hdl.handle.net/123456789/5842
dc.language.isoenfr_FR
dc.relation.ispartofseriesin:IEEE Transactions on Image Processing, Vol.25, n°10(Oct.2016);
dc.subjectApprentissage automatiquefr_FR
dc.subjectDécomposition de la matricefr_FR
dc.subjectApprentissage (intelligence artificielle)fr_FR
dc.subjectGraphes, Théorie desfr_FR
dc.titleLow-rank tensor subspace learning for rgb-d action recognitionfr_FR
dc.typeArticlefr_FR

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