Keyphrases
- linear discriminant analysis
- discriminant analysis
- kernel discriminant analysis
- principal component analysis
- face recognition
- dimensionality reduction
- discriminant features
- dimension reduction
- high dimensional data
- small sample size
- feature extraction
- support vector
- feature space
- least squares
- null space
- principal components analysis
- support vector machine svm
- discriminative information
- subspace methods
- linear discriminant
- fisher criterion
- dealing with high dimensional data
- multivariate statistical
- qr decomposition
- class separability
- pattern recognition
- scatter matrices
- generalized discriminant analysis
- supervised dimensionality reduction
- signal processing
- locality preserving projections
- low dimensional
- unsupervised learning
- data sets