| dc.contributor.author | Gülmezoğlu, M. B. | |
| dc.contributor.author | Edizkan, R. | |
| dc.contributor.author | Ergin, S. | |
| dc.contributor.author | Barkana, A. | |
| dc.date.accessioned | 2019-10-21T20:41:02Z | |
| dc.date.available | 2019-10-21T20:41:02Z | |
| dc.date.issued | 2005 | |
| dc.identifier.isbn | 1604238216 -- 9781604238211 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20624 | |
| dc.description | European Association for Signal Processing (EURASIP);KAREL;TUBITAK;NORTEL Networks - Business Without Boundaries;ARGELA Technologies | en_US |
| dc.description | 13th European Signal Processing Conference, EUSIPCO 2005 -- 4 September 2005 through 8 September 2005 -- Antalya -- 91025 | en_US |
| dc.description.abstract | The purpose of this study is to investigate the effects of different forms of between-class scatter matrices on multi-class problems. Two different between-class scatter matrices are defined in Fisher's linear discriminant analysis (FLDA) and the classification rates better than that of classical FLDA are obtained for TI-digit database. In this study, the criteria that give separate subspaces for each class are also proposed. It is seen that considering only the within-class scatter in the classification gives better results than that of considering both the within- and between-class scatters for TI-digit database. | en_US |
| dc.language.iso | eng | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Improvements on isolated word recognition using subspace methods | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | 13th European Signal Processing Conference, EUSIPCO 2005 | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
| dc.identifier.startpage | 317 | en_US |
| dc.identifier.endpage | 320 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
