Low-Rank Constrained Linear Discriminant Analysis.
Shuxian YiCaikou ChenJuanjuan CuiPublished in: CCBR (2013)
Keyphrases
- low rank
- linear discriminant analysis
- high dimensional data
- discriminant analysis
- dimensionality reduction
- singular value decomposition
- missing data
- face recognition
- principal component analysis
- linear combination
- dimension reduction
- matrix factorization
- convex optimization
- nearest neighbor
- matrix completion
- kernel matrix
- high dimensional
- low dimensional
- null space
- data sets
- high dimensionality
- support vector
- feature extraction
- high order
- original data
- semi supervised
- feature space
- data analysis
- gene expression data
- manifold learning
- subspace clustering
- singular values
- support vector machine svm
- feature analysis
- pattern recognition
- sparse representation
- kernel pca
- data matrix
- learning algorithm