Name
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. |
Year | Venue | Keywords |
|---|---|---|
2005 | EUSIPCO | matrix algebra,principal component analysis,speech recognition,flda,fisher linear discriminant analysis,ti-digit database,between-class scatter matrices,classification rates,isolated word recognition,multiclass problems,separate subspaces,subspace methods,within-class scatter |
DocType | ISBN | Citations |
Conference | 978-160-4238-21-1 | 1 |
PageRank | References | Authors |
0.35 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Bilginer Gülmezoğlu | 1 | 160 | 12.15 |
| Edizkan, R. | 2 | 1 | 0.35 |
| Semih Ergin | 3 | 26 | 4.00 |
| Barkana, A. | 4 | 7 | 0.90 |