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Uncorrelated discriminant vectors using a kernel method
Authors:Zhizheng Liang  Pengfei Shi
Affiliation:Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, PR China
Abstract:Uncorrelated discriminant vectors using a kernel method are proposed in this paper. In some sense, kernel uncorrelated discriminant vectors extend Jin's method and then several related theorems are stated. Most importantly, the proposed method can deal with nonlinear problems. Finally, experimental results on handwritten numeral characters show that the proposed method is effective and feasible.
Keywords:Linear discriminant analysis   Kernel-based methods   Uncorrelated discriminant vectors
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