Keyphrases
- linear discriminant analysis
- training data
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- small sample size
- support vector
- discriminant features
- feature extraction
- feature space
- decision trees
- data sets
- support vector machine svm
- linear discriminant
- high dimensional data
- null space
- learning algorithm
- supervised learning
- training set
- multivariate statistical
- training samples
- fisher criterion
- subspace methods
- scatter matrix
- class distribution
- classification accuracy
- discriminative information
- class separability
- training examples
- support vector machine
- discriminant vectors
- generalized discriminant analysis
- nonparametric discriminant analysis
- subspace analysis
- logistic regression
- class labels
- k nearest neighbor