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The common vector approach and its comparison with other subspace methods in case of sufficient data

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dc.contributor.authorDzhafarov, Vakıf
dc.contributor.authorBarkana, Atalay
dc.contributor.authorRifat Edizkan
dc.contributor.authorAtalay Barkana
dc.contributor.orcid0000-0002-1570-4989
dc.contributor.orcid0000-0002-2348-5181
dc.contributor.orcid0000-0002-5125-5631
dc.contributor.orcid0000-0003-1800-7908
dc.date.accessioned2025-11-13T09:55:41Z
dc.date.issued2006-07-18
dc.identifier.doihttps://doi.org/10.1016/j.csl.2006.06.002
dc.identifier.endpage281
dc.identifier.issn0885-2308
dc.identifier.issue2
dc.identifier.openalexW2033169422
dc.identifier.startpage266
dc.identifier.urihttps://hdl.handle.net/11421/2623
dc.identifier.urihttps://doi.org/10.1016/j.csl.2006.06.002
dc.identifier.volume21
dc.language.isoen
dc.relation.ispartofComputer Speech & Language
dc.rightsrestrictedAccess
dc.subjectSubspace topology
dc.subjectComputer science
dc.subjectLinear discriminant analysis
dc.subjectPattern recognition (psychology)
dc.subjectPrincipal component analysis
dc.subjectFeature vector
dc.subjectClass (philosophy)
dc.subjectDimension (graph theory)
dc.subjectArtificial intelligence
dc.subjectFeature (linguistics)
dc.subjectDiscriminant
dc.subjectSpeech recognition
dc.subjectMathematics
dc.subject.sdg10
dc.titleThe common vector approach and its comparison with other subspace methods in case of sufficient data
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5016446735
local.authorid.openalexA5110253546

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