Sparse Uncorrelated Linear Discriminant Analysis.
Xiaowei ZhangDelin ChuPublished in: ICML (1) (2013)
Keyphrases
- linear discriminant analysis
- discriminant vectors
- discriminant analysis
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- discriminant features
- null space
- feature extraction
- high dimensional data
- discriminative information
- sparse representation
- generalized discriminant analysis
- high dimensional
- support vector
- feature space
- fisher discriminant analysis
- small sample size
- support vector machine svm
- linear discriminant
- random projections
- fisher criterion
- pattern recognition
- low dimensional
- principal components
- least squares
- subspace methods
- subspace analysis
- scatter matrices
- sparse coding
- supervised dimensionality reduction
- qr decomposition
- computer vision
- data mining