Graph regularized linear discriminant analysis and its generalization.
Sheng HuangDan YangJia ZhouXiaohong ZhangPublished in: Pattern Anal. Appl. (2015)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- principal component analysis
- face recognition
- kernel discriminant analysis
- dimensionality reduction
- dimension reduction
- feature extraction
- null space
- discriminant features
- small sample size
- support vector
- feature space
- fisher criterion
- subspace methods
- support vector machine svm
- high dimensional data
- discriminative information
- multivariate statistical
- graph embedding
- least squares
- linear discriminant
- image processing
- machine learning
- supervised dimensionality reduction
- neural network
- subspace learning
- face detection
- low dimensional
- class separability
- decision trees
- qr decomposition