Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- dimension reduction
- feature extraction
- discriminant features
- small sample size
- support vector machine svm
- linear discriminant
- null space
- high dimensional data
- principal components analysis
- fisher criterion
- discriminative information
- support vector
- feature space
- subspace methods
- linear projection
- dealing with high dimensional data
- class separability
- subspace analysis
- independent component analysis
- high dimensional
- scatter matrices
- discriminant vectors