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