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The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition

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dc.contributor.authorBarkana, Atalay
dc.contributor.authorMarian Neamtu
dc.contributor.authorAtalay Barkana
dc.contributor.orcid0000-0002-1708-8817
dc.contributor.orcid0000-0003-1800-7908
dc.date.accessioned2025-11-13T10:31:15Z
dc.date.issued2007-07-13
dc.identifier.doihttps://doi.org/10.1109/tsmcb.2007.896011
dc.identifier.endpage951
dc.identifier.issn1083-4419
dc.identifier.issue4
dc.identifier.openalexW2154023624
dc.identifier.startpage937
dc.identifier.urihttps://hdl.handle.net/11421/4410
dc.identifier.urihttps://doi.org/10.1109/tsmcb.2007.896011
dc.identifier.volume37
dc.language.isoen
dc.relation.ispartofIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
dc.rightsrestrictedAccess
dc.subjectPattern recognition (psychology)
dc.subjectSubspace topology
dc.subjectLinear subspace
dc.subjectArtificial intelligence
dc.subjectKernel method
dc.subjectRandom subspace method
dc.subjectSupport vector machine
dc.subjectFeature vector
dc.subjectMathematics
dc.subjectEigenvalues and eigenvectors
dc.subjectClassifier (UML)
dc.subjectKernel (algebra)
dc.subjectComputer science
dc.subjectCombinatorics
dc.subject.sdg10
dc.titleThe Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5110253546

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