Uncorrelated discriminant vectors using a kernel method
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.
uncorrelated discriminant vectors linear discriminant analysis kernel-based methods