Keyphrases
- discriminant analysis
- principal components
- principal component analysis
- linear discriminant analysis
- subspace projection
- face recognition
- generalized linear
- dimensionality reduction
- feature extraction
- fisher linear discriminant analysis
- factor analysis
- fisher criterion
- principal components analysis
- principal component regression
- hyperplane
- dimension reduction
- feature space
- kernel space
- discriminant subspace
- principal curves
- covariance matrix
- independent component analysis
- null space
- fisher discriminant analysis
- kernel discriminant analysis
- graph embedding
- low dimensional
- unsupervised learning
- support vector
- image processing
- discriminant projection
- training set
- scatter matrices
- cluster analysis
- singular value decomposition
- high dimensional data
- sparse representation