Kernel Bilinear Discriminant Analysis for Face Recognition.
Xiao-Zhang LiuPublished in: CSE/EUC (1) (2017)
Keyphrases
- discriminant analysis
- face recognition
- kernel discriminant analysis
- discriminant subspace
- kernel fisher discriminant analysis
- linear discriminant analysis
- generalized discriminant analysis
- class separability
- fisher linear discriminant analysis
- kernel principal component analysis
- graph embedding
- kernel pca
- fisher discriminant analysis
- face images
- discriminant vectors
- feature extraction
- principal component analysis
- kernel function
- kernel methods
- gabor wavelets
- fisher criterion
- generalized linear
- partial least squares
- canonical correlations
- feature space
- discriminant projection
- cluster analysis
- face space
- scatter matrices
- kernel learning
- computer vision
- singular value decomposition
- sparse representation
- face detection
- low dimensional
- clustering algorithm