Keyphrases
- linear discriminant analysis
- discriminant analysis
- dimensionality reduction
- face recognition
- principal component analysis
- feature extraction
- dimension reduction
- small sample size
- support vector
- feature space
- null space
- discriminant features
- support vector machine svm
- high dimensional data
- principal components analysis
- fisher criterion
- discriminative information
- multivariate statistical
- linear discriminant
- class separability
- neural network
- dealing with high dimensional data
- subspace methods
- scatter matrices
- nonparametric discriminant analysis
- machine learning
- low dimensional
- scatter matrix
- computer vision
- discriminant vectors