Sparse recovery via nonconvex regularized M-estimators over ℓq-balls.
Xin LiDongya WuChong LiJinhua WangJen-Chih YaoPublished in: Comput. Stat. Data Anal. (2020)
Keyphrases
- low rank matrices
- objective function
- convex optimization
- regularized least squares
- random projections
- optimization problems
- robust principal component analysis
- sparse linear
- sparse data
- sparse representation
- compressed sensing
- recovery algorithm
- least squares
- signal recovery
- image recovery
- global optimization
- sparse reconstruction
- elastic net
- sparsity constraints
- orthogonal matching pursuit
- estimation problems
- sparse matrix
- risk minimization
- nonlinear programming
- compressive sensing
- low rank
- high dimensional