Orthogonal sparse linear discriminant analysis.
Zhonghua LiuGang LiuJiexin PuXiaohong WangHaijun WangPublished in: Int. J. Syst. Sci. (2018)
Keyphrases
- canonical correlation analysis
- linear discriminant analysis
- discriminant vectors
- discriminant analysis
- discriminant projection
- face recognition
- dimensionality reduction
- principal component analysis
- feature extraction
- high dimensional data
- dimension reduction
- principal components analysis
- small sample size
- feature space
- discriminant features
- null space
- support vector machine svm
- support vector
- subspace methods
- fisher criterion
- linear discriminant
- discriminative information
- locality preserving projections
- scatter matrix
- feature selection
- low dimensional
- data sets
- sparse coding
- sparse representation
- scatter matrices
- image classification
- face images
- high dimensional
- generalized discriminant analysis