Keyphrases
- linear discriminant analysis
- pattern recognition
- dimensionality reduction
- feature extraction
- support vector machine svm
- discriminant analysis
- face recognition
- dimension reduction
- principal component analysis
- multivariate statistical
- null space
- discriminant features
- fisher criterion
- small sample size
- principal components analysis
- neural network
- linear discriminant
- feature space
- image processing
- machine learning
- subspace methods
- discriminative information
- high dimensional data
- support vector
- computer vision
- scatter matrix
- dealing with high dimensional data
- feature selection
- principal components
- low dimensional
- high dimensional
- support vector machine
- knn
- locality preserving projections
- class separability
- decision trees