论文研究-From Feature Space to Primal Space: KPCA and Its Mixture Model.pdf

时间:2022-09-05 03:40:57
【文件属性】:

文件名称:论文研究-From Feature Space to Primal Space: KPCA and Its Mixture Model.pdf

文件大小:1.46MB

文件格式:PDF

更新时间:2022-09-05 03:40:57

Kernel principal component analysis (KPCA)

From Feature Space to Primal Space: KPCA and Its Mixture Model,王海贤,,Kernel principal component analysis (KPCA), as a nonlinear extension to PCA via kernel trick, has received great attention for its extreme usefulness in nonlinear feature extractio


网友评论