Finding a Sparse Vector in a Subspace: Linear Sparsity Using Alternating Directions.
Qing QuJu SunJohn WrightPublished in: IEEE Trans. Inf. Theory (2016)
Keyphrases
- high dimensional
- regularized regression
- sparse approximation
- sparse representation
- orthogonal matching pursuit
- sparsity constraints
- low dimensional
- high dimensional data
- sparse matrix
- regularized least squares
- low rank representation
- linear subspace
- dictionary learning
- hilbert space
- subspace clustering
- linearly independent
- low rank
- linear combination
- subspace learning
- compressed sensing
- mixed norm
- eigenvalue decomposition
- grassmann manifold
- feature selection
- image classification
- rank minimization
- basis vectors
- linear space
- gaussian process
- variable selection