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dc.contributor.authorKoç, Mehmet
dc.contributor.authorBarkana, Atalay
dc.date.accessioned2019-10-21T20:12:05Z
dc.date.available2019-10-21T20:12:05Z
dc.date.issued2009
dc.identifier.isbn978-1-4244-4435-9
dc.identifier.urihttps://hdl.handle.net/11421/20397
dc.descriptionIEEE 17th Signal Processing and Communications Applications Conference -- APR 09-11, 2009 -- Antalya, TURKEYen_US
dc.descriptionWOS: 000273935600170en_US
dc.description.abstractIn this paper a new method is proposed to perform the Common Vector Approach(CVA). While CVA performs the classification with respect to the distance between vectors, the new method performs the classification with respect to the scalars. In experimental work, AR face database is used. Method performs the classification approximately 2 times faster than the classical calculations in AR face database.en_US
dc.description.sponsorshipIEEEen_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleA Fast Method for the Common Vector Approachen_US
dc.typeconferenceObjecten_US
dc.relation.journal2009 IEEE 17th Signal Processing and Communications Applications Conference, Vols 1 and 2en_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.startpage678en_US
dc.identifier.endpage681en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorBarkana, Atalay


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