说明: Adaptive online algorithms for simultaneously extracting nonlinear eigenvectors of kernel principal component analysis (KPCA) are de- veloped. KPCA needs all the observed samples to represent basis functions, and the same scale of eigenvalue problem <wu881028> 上传 | 大小:244kb