Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- support vector machine svm
- discriminant features
- feature extraction
- high dimensional data
- feature space
- small sample size
- discriminant vectors
- support vector
- dimension reduction
- null space
- linear discriminant
- principal components analysis
- multivariate statistical
- discriminative information
- subspace methods
- fisher criterion
- high dimensional
- data sets
- scatter matrix
- high dimensionality
- subspace analysis
- worst case
- nearest neighbor
- decision trees