Kernel optimization using nonparametric Fisher criterion in the subspace.
Xingyu WuXia MaoLijiang ChenYu-Li XueAlberto RovettaPublished in: Pattern Recognit. Lett. (2015)
Keyphrases
- fisher criterion
- subspace learning
- scatter matrices
- discriminant analysis
- fisher linear discriminant analysis
- linear discriminant analysis
- feature space
- linear discriminant
- principal component analysis
- kernel function
- distance measure
- dimensionality reduction
- feature extraction
- high dimensional data
- dimension reduction
- optimization criterion
- kernel methods
- low dimensional
- original data
- linear subspace
- reproducing kernel hilbert space
- optimal kernel