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Image set based face recognition using self-regularized non-negative coding and adaptive distance metric learning

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dc.contributor.authorMian, Ajmal
dc.contributor.authorHu, Yiqun
dc.contributor.authorHartley, Richard
dc.contributor.authorOwens, R
dc.date.accessioned2015-12-13T22:31:44Z
dc.date.issued2013
dc.date.updated2015-12-11T09:02:26Z
dc.description.abstractSimple nearest neighbor classification fails to exploit the additional information in image sets. We propose self-regularized nonnegative coding to define between set distance for robust face recognition. Set distance is measured between the nearest set p
dc.identifier.issn1057-7149
dc.identifier.urihttp://hdl.handle.net/1885/75392
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Image Processing
dc.titleImage set based face recognition using self-regularized non-negative coding and adaptive distance metric learning
dc.typeJournal article
local.bibliographicCitation.issue12
local.bibliographicCitation.lastpage5262
local.bibliographicCitation.startpage5252
local.contributor.affiliationMian, Ajmal, University of Western Australia
local.contributor.affiliationHu, Yiqun, Paypal Innovation Team
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.contributor.affiliationOwens, R, University of Western Australia
local.contributor.authoruidHartley, Richard, u4022238
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo899999 - Information and Communication Services not elsewhere classified
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationf5625xPUB4600
local.identifier.citationvolume22
local.identifier.doi10.1109/TIP.2013.2282996
local.identifier.scopusID2-s2.0-84886936934
local.identifier.thomsonID000331203200007
local.type.statusPublished Version

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