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A new implementation of common matrix approach using third-order tensors for face recognition

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dc.contributor.authorGerek, Ömer Nezih
dc.contributor.authorSerdar Çakır
dc.contributor.authorÖmer Nezih Gerek
dc.contributor.authorM. Bilginer Gülmezoğlu
dc.contributor.orcid0000-0002-7470-8488
dc.contributor.orcid0000-0003-3720-4464
dc.contributor.orcid0000-0001-8183-1356
dc.contributor.orcid0000-0002-1570-4989
dc.date.accessioned2025-11-13T10:37:35Z
dc.date.issued2010-09-08
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2010.09.011
dc.identifier.endpage3251
dc.identifier.issn0957-4174
dc.identifier.issue4
dc.identifier.openalexW1966437817
dc.identifier.startpage3246
dc.identifier.urihttps://hdl.handle.net/11421/4754
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2010.09.011
dc.identifier.volume38
dc.language.isoen
dc.relation.ispartofExpert Systems with Applications
dc.rightsrestrictedAccess
dc.subjectOrthogonalization
dc.subjectBasis (linear algebra)
dc.subjectFacial recognition system
dc.subjectSingular value decomposition
dc.subjectOrthogonal basis
dc.subjectMatrix (chemical analysis)
dc.subjectEigenface
dc.subjectMathematics
dc.subjectPattern recognition (psychology)
dc.subjectMatrix analysis
dc.subjectFace (sociological concept)
dc.subjectTensor (intrinsic definition)
dc.subjectLinear subspace
dc.subjectGramian matrix
dc.subjectBasis function
dc.subjectArtificial intelligence
dc.subjectComputer science
dc.subjectAlgorithm
dc.subjectEigenvalues and eigenvectors
dc.subjectPure mathematics
dc.subjectMathematical analysis
dc.subjectGeometry
dc.titleA new implementation of common matrix approach using third-order tensors for face recognition
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5035651018

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