Keyphrases
- low rank matrices
- lp norm
- linear programming
- objective function
- regularized least squares
- robust principal component analysis
- mixed norm
- group lasso
- linear program
- sparse data
- high dimensional
- sparse representation
- signal recovery
- special case
- neural network
- optimal solution
- coefficient matrix
- norm regularization
- sparse learning
- compressive sensing
- multiple kernel learning
- sparsity inducing
- variable selection
- np hard