Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- small sample size
- feature extraction
- feature space
- principal components analysis
- discriminant features
- support vector
- support vector machine svm
- fisher criterion
- class separability
- discriminative information
- null space
- high dimensional data
- subspace methods
- linear discriminant
- multivariate statistical
- subspace analysis
- scatter matrices
- pattern recognition
- data sets
- dealing with high dimensional data
- kernel pca
- face detection
- high dimensional
- image processing
- computer vision
- data mining