Finding a sparse vector in a subspace: Linear sparsity using alternating directions.
Qing QuJu SunJohn WrightPublished in: CoRR (2014)
Keyphrases
- high dimensional
- sparse approximation
- sparse representation
- regularized regression
- orthogonal matching pursuit
- low dimensional
- sparsity constraints
- dimensionality reduction
- linear subspace
- sparse matrix
- sparse coding
- vector space
- subspace learning
- high dimensional data
- dictionary learning
- tensor factorization
- feature space
- mixed norm
- compressive sampling
- principal component analysis
- linear combination
- regularized least squares
- basis vectors
- linear space
- compressive sensing
- hilbert space
- compressed sensing
- elastic net
- face recognition
- sparse reconstruction
- eigenvalue decomposition
- weight vector
- linear systems
- gaussian process
- low rank