Keyphrases
- least squares
- linear discriminant analysis
- equivalence relationship
- discriminant analysis
- supervised dimensionality reduction
- canonical correlation analysis
- face recognition
- principal component analysis
- small sample size
- dimensionality reduction
- feature space
- discriminant features
- null space
- dimension reduction
- high dimensional data
- support vector
- feature extraction
- support vector machine svm
- singular value decomposition
- linear discriminant
- involving high dimensional data
- subspace methods
- discriminative information
- optical flow
- fisher criterion
- multivariate statistical
- multi class
- feature selection
- data sets
- principal components analysis
- partial least squares
- principal components
- class separability
- image processing
- scatter matrix
- computer vision
- generalized discriminant analysis