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dc.contributor.authorWang, L
dc.contributor.authorLeckie, C
dc.contributor.authorWang, X
dc.contributor.authorKotagiri, R
dc.contributor.authorBezdek, J
dc.date.available2014-05-22T03:53:47Z
dc.date.issued2007-12-01
dc.identifier.citationWang, L., Leckie, C., Wang, X., Kotagiri, R. & Bezdek, J. (2007). Tensor space learning for analyzing activity patterns from video sequences. Proceedings - IEEE International Conference on Data Mining, ICDM, pp.63-68. IEEE. https://doi.org/10.1109/ICDMW.2007.70.
dc.identifier.isbn0769530192
dc.identifier.isbn9780769530192
dc.identifier.issn1550-4786
dc.identifier.urihttp://hdl.handle.net/11343/31651
dc.publisherIEEE
dc.source2007 Seventh IEEE International Conference on Data Mining - Workshops (ICDM Workshops)
dc.subjectArtificial Intelligence and Image Processing
dc.titleTensor space learning for analyzing activity patterns from video sequences
dc.typeConference Paper
dc.identifier.doi10.1109/ICDMW.2007.70
melbourne.peerreviewPeer Reviewed
melbourne.affiliationThe University of Melbourne
melbourne.affiliation.departmentComputer Science and Software Engineering
melbourne.source.titleProceedings - IEEE International Conference on Data Mining, ICDM
melbourne.source.pages63-68
dc.description.pagestart638
melbourne.publicationid85802
melbourne.elementsid293639
melbourne.contributor.authorWANG, LIANG
melbourne.contributor.authorLeckie, Christopher
melbourne.contributor.authorKotagiri, Ramamohanarao
melbourne.contributor.authorBezdek, James
melbourne.contributor.authorWANG, XIAOZHE
melbourne.internal.ingestnoteAbstract bulk upload (2017-07-24)
melbourne.accessrightsThis item is currently not available from this repository


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