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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5808
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dc.contributor.authorGao, Junbinen
dc.contributor.authorKwan, Paul Hingen
dc.contributor.authorGuo, Yien
local.source.editorEditor(s): Zhang T, Nardell CA, Smith DD, Lu Hen
dc.date.accessioned2010-05-12T11:56:00Z-
dc.date.issued2007-
dc.identifier.citationProceedings of MIPPR 2007: Automatic Target Recognition and Image Analysis and Multispectral Image Acquisition, v.6786 (67860T)en
dc.identifier.isbn9780819469502en
dc.identifier.urihttps://hdl.handle.net/1959.11/5808-
dc.description.abstractThe so-called robust L1 PCA was introduced in our recent work [1] based on the L1 noise assumption. Due to the heavy tail characteristics of the L1 distribution, the proposed model has been proved much more robust against data outliers. In this paper, we further demonstrate how the learned robust L1 PCA model can be used to denoise image data.en
dc.languageenen
dc.publisherInternational Society for Optical Engineering (SPIE)en
dc.relation.ispartofProceedings of MIPPR 2007: Automatic Target Recognition and Image Analysis and Multispectral Image Acquisitionen
dc.titleRobust L1 PCA and Its Application in Image Denoisingen
dc.typeConference Publicationen
dc.relation.conferenceMIPPR 2007: Automatic Target Recognition and Image Analysis and Multispectral Image Acquisitionen
dc.identifier.doi10.1117/12.774719en
dc.subject.keywordsPattern Recognition and Data Miningen
local.contributor.firstnameJunbinen
local.contributor.firstnamePaul Hingen
local.contributor.firstnameYien
local.subject.for2008080109 Pattern Recognition and Data Miningen
local.subject.seo2008890201 Application Software Packages (excl. Computer Games)en
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailjgao@une.edu.auen
local.profile.emailwkwan2@une.edu.auen
local.profile.emailyguo4@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordpes:5539en
local.date.conference15th - 17th November, 2007en
local.conference.placeWuhan, Chinaen
local.publisher.placeWashington, United States of Americaen
local.peerreviewedYesen
local.identifier.volume6786en
local.identifier.issue67860Ten
local.contributor.lastnameGaoen
local.contributor.lastnameKwanen
local.contributor.lastnameGuoen
dc.identifier.staffune-id:jgaoen
dc.identifier.staffune-id:wkwan2en
dc.identifier.staffune-id:yguo4en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:5950en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleRobust L1 PCA and Its Application in Image Denoisingen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsMIPPR 2007: Automatic Target Recognition and Image Analysis and Multispectral Image Acquisition, Wuhan, China, 15th - 17th November, 2007en
local.search.authorGao, Junbinen
local.search.authorKwan, Paul Hingen
local.search.authorGuo, Yien
local.uneassociationUnknownen
local.identifier.wosid000253700100028en
local.year.published2007en
local.date.start2007-11-15-
local.date.end2007-11-17-
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