Evalutation of performance of KNN, MLP and RBF classifiers in emotion detection problem [Duygu tespi·t problemi·nde KNN, MLP ve RBF siniflandiricilarin başarimlarinin degerlendi·ri·lmesi·]

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dc.contributor.authorPolat G.
dc.contributor.authorAltun H.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2007
dc.departmentNiğde ÖHÜ
dc.description2007 IEEE 15th Signal Processing and Communications Applications, SIU -- 11 June 2007 through 13 June 2007 -- Eskisehir -- 73089
dc.description.abstractEmotion Detection has gained increasing attention and become an active research area. The problem is solved with improved feature set with different number of feature groups, by employing different classifiers in order to achieve satisfactory recognition rate. In this study, speech related features are employed to evaluate the performance of different classifiers in emotion detection problem.
dc.identifier.doi10.1109/SIU.2007.4298581
dc.identifier.isbn1424407192 -- 9781424407194
dc.identifier.scopus2-s2.0-50249096821
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2007.4298581
dc.identifier.urihttps://hdl.handle.net/11480/1179
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isotr
dc.relation.ispartof2007 IEEE 15th Signal Processing and Communications Applications, SIU
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleEvalutation of performance of KNN, MLP and RBF classifiers in emotion detection problem [Duygu tespi·t problemi·nde KNN, MLP ve RBF siniflandiricilarin başarimlarinin degerlendi·ri·lmesi·]
dc.typeConference Object

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