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dc.contributor.authorGülmezoğlu, M. Bilginer
dc.contributor.authorEdizkan, Rıfat
dc.contributor.authorErgin, Semih
dc.contributor.authorBarkana, Atalay
dc.date.accessioned2019-10-21T20:41:02Z
dc.date.available2019-10-21T20:41:02Z
dc.date.issued2005
dc.identifier.isbn0780392396 -- 9780780392397
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2005.1567782
dc.identifier.urihttps://hdl.handle.net/11421/20625
dc.descriptionIEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 -- 16 May 2005 through 18 May 2005 -- Kayseri -- 69003en_US
dc.description.abstractThe purpose of this study is to increase the recognition rates of the isolated word using improved Fisher's Linear Discriminant Analysis (FLDA). Therefore, at first, unique subspace for each class is constructed by defining between class covariance matrix in two ways and the recognition performance is investigated using this subspace. Then, separate subspaces for each class are constructed by defining between class covariance matrix in two different ways and the results obtained from these subspaces are combined to increase recognition performance. These results are slightly greater than the results given in literature for the FLDA methoden_US
dc.language.isoturen_US
dc.relation.isversionof10.1109/SIU.2005.1567782en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleImprovements on isolated word recognition using FLDA [FLDA kullanarak ayrik kelime tanimada yapilan iyileştirmeler]en_US
dc.typeconferenceObjecten_US
dc.relation.journalProceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005en_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.identifier.volume2005en_US
dc.identifier.startpage703en_US
dc.identifier.endpage706en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US]
dc.contributor.institutionauthorBarkana, Atalay


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