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

dc.contributor.author	Jia, Chengcheng
dc.contributor.author	Fu, Yun
dc.date.accessioned	2018-03-26T11:40:33Z
dc.date.available	2018-03-26T11:40:33Z
dc.date.issued	2016
dc.identifier.issn	1057-7149
dc.identifier.uri	http://hdl.handle.net/123456789/5842
dc.description	p.4641 - 4652	fr_FR
dc.language.iso	en	fr_FR
dc.relation.ispartofseries	in:IEEE Transactions on Image Processing, Vol.25, n°10(Oct.2016);
dc.subject	Apprentissage automatique	fr_FR
dc.subject	Décomposition de la matrice	fr_FR
dc.subject	Apprentissage (intelligence artificielle)	fr_FR
dc.subject	Graphes, Théorie des	fr_FR
dc.title	Low-rank tensor subspace learning for rgb-d action recognition	fr_FR
dc.type	Article	fr_FR