Face recognition + Kernel Principal Component Anal
2016-08-23
0 0 0
no vote
Other
Earn points
A kernel principal component analysis (PCA) was recently proposed as a nonlinear extension of a PCA.
The basic idea is to first map the input space into a feature space via nonlinear mapping and then compute
the principal components in that feature space. This letter adopts the kernel PCA as a mechanism for extracting
facial features. Through adopting a polynomial kernel, the
matlab
识别
人脸
分析
成分
Related Source Codes
GMSK Linear Receiver
0
0
no vote
NSGA-II algorithm
0
0
no vote
NSGA-III multi-objective optimization algorithm
0
0
no vote
Compressed sensing example
0
0
no vote
CFAR detector example
0
0
no vote
No comment