Improvements on common vector approach for multi class problems

EDİZKAN R., GÜLMEZOĞLU M. B., ERGİN S., BARKANA A.

13th European Signal Processing Conference, EUSIPCO 2005, Antalya, Türkiye, 4 - 08 Eylül 2005, ss.2246-2249 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.2246-2249
  • Anadolu Üniversitesi Adresli: Evet

Özet

In multi-class problems, within- and between-class scatters should be considered in classification criterion. The common vector approach (CVA) uses the discriminative information obtained from within-class scatter of any class. It has been shown that this classical CVA method gives high recognition rates in multi-class problems. In this study, improvements on the CVA method that consider both within- and between-class scatters are proposed and they are compared with the classical CVA. method. Although both methods give almost the same recognition rates on TI-digit database, they give better dimensionality reduction than the classical CVA method. The improved CVA methods also reduce both the processing time and the memory requirement of the classification parameters.