| dc.contributor.author | Koç, Mehmet | |
| dc.contributor.author | Barkana, Atalay | |
| dc.date.accessioned | 2019-10-21T20:41:15Z | |
| dc.date.available | 2019-10-21T20:41:15Z | |
| dc.date.issued | 2012 | |
| dc.identifier.isbn | 9781467300568 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/SIU.2012.6204536 | |
| dc.identifier.uri | https://hdl.handle.net/11421/20721 | |
| dc.description | 2012 20th Signal Processing and Communications Applications Conference, SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye, Mugla -- 90786 | en_US |
| dc.description.abstract | Matrix-based (2D) methods have advantages over vector-based (1D) methods. Matrix-based methods generally have less computational costs and higher recognition performances with respect to vector-based variants. In this work a two dimensional variation of Discriminative Common Vector Approach (2D-DCVA) is implemented. The performance of the method in single image problem is compared with the one dimensional Discriminative Common Vector Approach (1D-DCVA) and the two dimensional Fisher Linear Discriminant Analysis (2D-FLDA) on ORL, FERET, and YALE face databases. The best recognition performances are achieved in all databases with the proposed method | en_US |
| dc.language.iso | tur | en_US |
| dc.relation.isversionof | 10.1109/SIU.2012.6204536 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Application of the discriminative common vector approach to one sample problem [Ayirtedi·ci· ortak vektör yaklaşiminin tek örnek problemi·ne uygulanmasi] | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US] |
| dc.contributor.institutionauthor | Barkana, Atalay | |
