Small sample size and high computational complexity are two major problems encountered when traditional kernel discriminant analysis methods are applied to high-dimensional pattern classification tasks such as face recognition. In this paper, we introduce a new kernel discriminant learning method, w
β¦ LIBER β¦
An efficient method for computing orthogonal discriminant vectors
β Scribed by Jinghua Wang; Yong Xu; David Zhang; Jane You
- Book ID
- 113816511
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 653 KB
- Volume
- 73
- Category
- Article
- ISSN
- 0925-2312
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