Keyphrases
- discriminant analysis
- high dimensional
- linear discriminant analysis
- dimensionality reduction
- kernel principal component analysis
- face recognition
- feature extraction
- high dimensionality
- low dimensional
- principal component analysis
- high dimensional data
- small sample size
- fisher linear discriminant analysis
- feature space
- fisher discriminant analysis
- data points
- fisher criterion
- pattern recognition
- dimensionality reduction methods
- generalized linear
- discriminant subspace
- input space
- microarray data
- nearest neighbor
- dimension reduction
- discriminant projection
- partial least squares
- gaussian mixture
- sparse coding
- image processing
- learning algorithm