Sparse Uncorrelated Linear Discriminant Analysis for Undersampled Problems.
Xiaowei ZhangDelin ChuRoger C. E. TanPublished in: IEEE Trans. Neural Networks Learn. Syst. (2016)
Keyphrases
- linear discriminant analysis
- small sample size
- discriminant analysis
- principal component analysis
- dimension reduction
- feature extraction
- face recognition
- dimensionality reduction
- high dimensional data
- feature space
- high dimensional
- sample size
- high dimensionality
- pattern recognition
- image processing
- null space
- linear discriminant
- discriminant vectors
- input image
- support vector
- principal components analysis
- class separability
- fisher criterion
- generalized discriminant analysis