Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- face recognition
- dimensionality reduction
- support vector
- dimension reduction
- small sample size
- feature extraction
- discriminant features
- feature space
- support vector machine svm
- high dimensional data
- fisher criterion
- null space
- principal components analysis
- multivariate statistical
- subspace methods
- discriminative information
- probabilistic model
- class separability
- scatter matrix
- generalized discriminant analysis
- pattern recognition
- linear discriminant
- kernel pca
- model selection
- facial expressions
- nearest neighbor
- subspace analysis
- computer vision
- dealing with high dimensional data
- nonparametric discriminant analysis
- original data
- qr decomposition
- lower dimensional
- data sets
- multi class
- neural network