Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- dimension reduction
- support vector
- feature extraction
- support vector machine svm
- small sample size
- feature space
- principal components analysis
- high dimensional data
- discriminant features
- linear discriminant
- discriminative information
- null space
- subspace methods
- fisher criterion
- class separability
- multivariate statistical
- dealing with high dimensional data
- generalized discriminant analysis
- kernel function
- signal processing
- decision trees
- image processing
- linear projection
- machine learning
- data sets