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dc.contributor.authorZhang, M
dc.contributor.authorGao, Y
dc.contributor.authorSun, C
dc.contributor.authorLa Salle, J
dc.contributor.authorLiang, J
dc.date.accessioned2017-06-05T01:39:21Z
dc.date.available2017-06-05T01:39:21Z
dc.date.issued2016
dc.identifier.isbn9781509048472
dc.identifier.issn1051-4651
dc.identifier.doi10.1109/ICPR.2016.7900290
dc.identifier.urihttp://hdl.handle.net/10072/338808
dc.description.abstractTraditional tensor decomposition methods, e.g., two dimensional principle component analysis (2DPCA) and two dimensional singular value decomposition (2DSVD), minimize mean square errors (MSE) and are sensitive to outliers. In this paper, we propose a new robust tensor factorization method using maximum correntropy criterion (MCC) to improve the robustness of traditional tensor decomposition methods. A half-quadratic optimization algorithm is adopted to effectively optimize the correntropy objective function in an iterative manner. It can effectively improve the robustness of a tensor decomposition method to outliers without introducing any extra computational cost. Experimental results demonstrated that the proposed method significantly reduces the reconstruction error on face reconstruction and improves the accuracy rate on handwritten digit recognition.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameICPR 2016
dc.relation.ispartofconferencetitleProceedings - International Conference on Pattern Recognition
dc.relation.ispartofdatefrom2016-12-04
dc.relation.ispartofdateto2016-12-08
dc.relation.ispartoflocationCancún, México
dc.relation.ispartofpagefrom4184
dc.relation.ispartofpageto4189
dc.relation.ispartofvolume0
dc.subject.fieldofresearchPattern recognition
dc.subject.fieldofresearchNumerical computation and mathematical software
dc.subject.fieldofresearchcode460308
dc.subject.fieldofresearchcode461306
dc.titleRobust tensor factorization using maximum correntropy criterion
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.hasfulltextNo Full Text
gro.griffith.authorGao, Yongsheng


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    Contains papers delivered by Griffith authors at national and international conferences.

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