Sparse L1-norm-based linear discriminant analysis.
Gui-Fu LuJian ZouYong WangZhongqun WangPublished in: Multim. Tools Appl. (2018)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- dimension reduction
- discriminant features
- small sample size
- high dimensional
- feature extraction
- support vector
- feature space
- null space
- high dimensional data
- support vector machine svm
- fisher criterion
- linear discriminant
- group lasso
- scatter matrix
- sparse representation
- discriminative information
- random projections
- class separability
- fisher discriminant analysis
- sparse coding
- objective function
- decision trees
- subspace methods
- scatter matrices
- image processing