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dc.contributor.authorZhang, M
dc.contributor.authorGao, Y
dc.contributor.authorSun, C
dc.contributor.authorBlumenstein, M
dc.date.accessioned2020-03-23T00:04:33Z
dc.date.available2020-03-23T00:04:33Z
dc.date.issued2019
dc.identifier.isbn9781538662496
dc.identifier.issn1522-4880
dc.identifier.doi10.1109/ICIP.2019.8803437
dc.identifier.urihttp://hdl.handle.net/10072/392522
dc.description.abstractTraditional matrix-based dimensional reduction methods, e.g., two-dimensional principal component analysis (2DPCA) and two-dimensional singular value decomposition (2DSVD), minimize mean square errors (MSE), which is sensitive to outliers. To overcome this problem, in this paper we propose a new robust 2DSVD method based on the kernel mean p power error loss (KMPE-2DSVD). Different from the MSE and the correntropy based ones which are second order statistics based measurements, the KMPE-2DSVD is based on the non-second order statistics in the kernel space, and thus is more flexible in controlling the representation error. Experimental results show that the proposed method significantly improves the accuracy of facial image clustering.
dc.description.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofconferencenameIEEE International Conference on Image Processing (ICIP 2019)
dc.relation.ispartofconferencetitleProceedings - International Conference on Image Processing, ICIP
dc.relation.ispartofdatefrom2019-09-22
dc.relation.ispartofdateto2019-09-25
dc.relation.ispartoflocationTaipei, Taiwan
dc.relation.ispartofpagefrom3432
dc.relation.ispartofpageto3436
dc.relation.ispartofvolume2019-September
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchcode4602
dc.titleKernel Mean P Power Error Loss for Robust Two-Dimensional Singular Value Decomposition
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationZhang, M; Gao, Y; Sun, C; Blumenstein, M, Kernel Mean P Power Error Loss for Robust Two-Dimensional Singular Value Decomposition, Proceedings - International Conference on Image Processing, ICIP, 2019, 2019-September, pp. 3432-3436
dc.date.updated2020-03-23T00:01:48Z
gro.hasfulltextNo Full Text
gro.griffith.authorGao, Yongsheng


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