Kernel optimization-based discriminant analysis for face recognition.
Jun-Bao LiJeng-Shyang PanZhe-Ming LuPublished in: Neural Comput. Appl. (2009)
Keyphrases
- discriminant analysis
- face recognition
- kernel discriminant analysis
- discriminant subspace
- linear discriminant analysis
- kernel fisher discriminant analysis
- class separability
- fisher linear discriminant analysis
- kernel principal component analysis
- feature extraction
- fisher discriminant analysis
- generalized discriminant analysis
- kernel function
- principal component analysis
- partial least squares
- graph embedding
- gabor wavelets
- support vector
- facial images
- face images
- fisher criterion
- canonical correlations
- pattern recognition
- kernel pca
- cluster analysis
- scatter matrices
- generalized linear
- null space