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Efficient algorithm for kernel discriminant analysis

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2 Author(s)
Liang, Z. ; Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., China ; Shi, P.

An efficient algorithm for kernel discriminant analysis is developed, which applies the maximal Fisher criterion value and the minimal statistical correlation between feature vectors. In some sense, the proposed algorithm is a generalisation of Xu's method as a nonlinear feature extraction method. Experiments on ORL face database demonstrate that the proposed algorithm is effective.

Published in:

Electronics Letters  (Volume:40 ,  Issue: 25 )

Date of Publication:

9 Dec. 2004

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