Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- dimension reduction
- feature extraction
- feature space
- high dimensional data
- null space
- fisher criterion
- discriminant features
- small sample size
- discriminative information
- support vector machine svm
- subspace methods
- principal components analysis
- low dimensional
- probabilistic model
- support vector
- scatter matrix
- class separability
- image processing
- high dimensional
- feature selection
- generative model
- multi class
- generalized discriminant analysis
- dealing with high dimensional data