Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- small sample size
- dimension reduction
- feature extraction
- null space
- support vector
- support vector machine svm
- principal components analysis
- class separability
- fisher criterion
- multivariate statistical
- high dimensional data
- discriminant features
- feature space
- discriminative information
- linear discriminant
- subspace methods
- scatter matrix
- qr decomposition
- pattern recognition
- dealing with high dimensional data