Scalable Robust Principal Component Analysis Using Grassmann Averages

dc.contributor.author	Enficiaud, Raffi
dc.contributor.author	Black, Michael J.
dc.date.accessioned	2018-07-24T12:38:37Z
dc.date.available	2018-07-24T12:38:37Z
dc.date.issued	2016
dc.identifier.issn	1939-3539
dc.identifier.uri	http://hdl.handle.net/10900/83362
dc.language.iso	en	en
dc.publisher	IEEE Computer Soc	de_DE
dc.relation.uri	http://dx.doi.org/10.1109/TPAMI.2015.2511743
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.ddc	004	de_DE
dc.subject.ddc	600	de_DE
dc.title	Scalable Robust Principal Component Analysis Using Grassmann Averages	de_DE
dc.type	Article	de_DE
utue.quellen.id	20180405102126_00633
utue.publikation.seiten	2298-2311	de_DE
utue.personen.roh	Hauberg, Soren
utue.personen.roh	Feragen, Aasa
utue.personen.roh	Enficiaud, Raffi
utue.personen.roh	Black, Michael J.
dcterms.isPartOf.ZSTitelID	IEEE Transactions on Pattern Analysis and Machine Intelligence	de_DE
dcterms.isPartOf.ZS-Issue	11	de_DE
dcterms.isPartOf.ZS-Volume	38	de_DE
utue.fakultaet	Sonstige