A Kernel Maximum uncertainty Discriminant Analysis and its Application to Face Recognition.
Carlos E. ThomazGilson Antonio GiraldiPublished in: VISAPP (1) (2009)
Keyphrases
- discriminant analysis
- kernel discriminant analysis
- discriminant subspace
- class separability
- kernel fisher discriminant analysis
- fisher linear discriminant analysis
- linear discriminant analysis
- kernel principal component analysis
- face recognition
- feature extraction
- graph embedding
- factor analysis
- feature space
- principal component analysis
- kernel function
- support vector
- fisher criterion
- kernel methods
- generalized discriminant analysis
- dimensionality reduction methods
- kernel learning
- discriminant vectors
- scatter matrices
- discriminant functions
- fisher discriminant analysis
- neural network
- generalized linear
- canonical correlations
- multi class
- partial least squares
- cluster analysis