Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- discriminant features
- feature extraction
- support vector machine svm
- dimension reduction
- dimensionality reduction
- small sample size
- high dimensional data
- null space
- fisher criterion
- linear discriminant
- support vector
- feature space
- subspace methods
- multivariate statistical
- principal components analysis
- scatter matrix
- discriminative information
- qr decomposition
- dealing with high dimensional data
- locality preserving projections
- kernel pca
- image processing
- high dimensionality
- linear projection
- feature selection
- neural network
- generalized discriminant analysis
- nonparametric discriminant analysis
- data sets