Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties.
Jia CaiXiaolin HuangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- small sample size
- dimension reduction
- high dimensional
- feature space
- support vector machine svm
- high dimensional data
- support vector
- feature extraction
- null space
- fisher criterion
- sparse representation
- discriminant features
- random projections
- subspace methods
- linear discriminant
- discriminative information
- class separability
- convex optimization
- objective function
- scatter matrices
- fisher discriminant analysis
- generalized discriminant analysis
- sparse coding
- locality preserving projections
- subspace analysis
- face detection
- low dimensional
- image processing
- supervised dimensionality reduction
- machine learning