Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- dimension reduction
- involving high dimensional data
- small sample size
- equivalence relationship
- discriminant features
- high dimensional data
- feature extraction
- support vector machine svm
- support vector
- null space
- discriminative information
- linear discriminant
- fisher criterion
- feature space
- multivariate statistical
- scatter matrices
- scatter matrix
- semi supervised
- nonparametric discriminant analysis
- high dimensionality
- subspace methods
- canonical correlation analysis
- class separability
- cost function