Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- face recognition
- dimensionality reduction
- discriminant features
- small sample size
- dimension reduction
- feature extraction
- feature space
- support vector
- principal components analysis
- fisher criterion
- support vector machine svm
- multivariate statistical
- linear discriminant
- null space
- subspace methods
- high dimensional data
- discriminative information
- class separability
- locality preserving projections
- scatter matrices
- scatter matrix
- computer vision
- low dimensional
- linear projection
- training set
- discriminant vectors
- dealing with high dimensional data