Structured Sparse Linear Discriminant Analysis.
Zhen CuiShiguang ShanHaihong ZhangShihong LaoXilin ChenPublished in: ICIP (2012)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- feature extraction
- dimension reduction
- small sample size
- high dimensional data
- high dimensional
- sparse representation
- discriminant features
- feature space
- support vector machine svm
- null space
- random projections
- fisher criterion
- principal components analysis
- support vector
- fisher discriminant analysis
- subspace methods
- discriminative information
- linear discriminant
- nearest neighbor
- class separability
- neural network
- sample size
- locality preserving projections
- subspace analysis
- scatter matrices
- supervised dimensionality reduction
- qr decomposition