대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)
- 대한전자공학회 2000년도 ITC-CSCC -1
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- Pages.274-277
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- 2000
Fast algorithm for online linear discriminant analysis
- Kazuyuki Hiraoka (Dept. of Information and Computer Sciences) ;
- Masashi Hamahira (Dept. of Information and Computer Sciences) ;
- Hidai, Ken-ichi (Dept. of Information and Computer Sciences) ;
- Hiroshi Mizoguchi (Dept. of Information and Computer Sciences) ;
- Taketoshi Mishima (Dept. of Information and Computer Sciences) ;
- Shuji Yoshizawa (Dept. of Information and Computer Sciences)
- 발행 : 2000.07.01
초록
Linear discriminant analysis (LDA) is a basic tool of pattern recognition, and it is used in extensive fields, e.g. face identification. However, LDA is poor at adaptability since it is a batch type algorithm. To overcome this, a new algorithm of online LDA is proposed in the present paper. It is experimentally shown that the new algorithm is about two times faster than the previously proposed algorithm.
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