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On the realization of common matrix classifier using covariance tensors

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dc.contributor.authorGerek, Ömer Nezih
dc.contributor.authorBarkana, Atalay
dc.contributor.authorM. Bilginer Gülmezoğlu
dc.contributor.authorAtalay Barkana
dc.contributor.orcid0000-0002-7470-8488
dc.contributor.orcid0000-0001-8183-1356
dc.contributor.orcid0000-0002-1570-4989
dc.contributor.orcid0000-0003-1800-7908
dc.date.accessioned2025-11-13T11:56:55Z
dc.date.issued2015-04-05
dc.identifier.doihttps://doi.org/10.1016/j.dsp.2015.03.008
dc.identifier.endpage117
dc.identifier.issn1051-2004
dc.identifier.openalexW2012286160
dc.identifier.startpage110
dc.identifier.urihttps://hdl.handle.net/11421/8472
dc.identifier.urihttps://doi.org/10.1016/j.dsp.2015.03.008
dc.identifier.volume41
dc.language.isoen
dc.relation.ispartofDigital Signal Processing
dc.rightsrestrictedAccess
dc.subjectOrthogonalization
dc.subjectCovariance matrix
dc.subjectClassifier (UML)
dc.subjectCovariance
dc.subjectArtificial intelligence
dc.subjectMathematics
dc.subjectPattern recognition (psychology)
dc.subjectEigenvalues and eigenvectors
dc.subjectComputer science
dc.subjectEstimation of covariance matrices
dc.subjectAlgorithm
dc.subjectStatistics
dc.titleOn the realization of common matrix classifier using covariance tensors
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5035651018
local.authorid.openalexA5110253546

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