Performance Analysis of Joint-Sparse Recovery from Multiple Measurements and Prior Information via Convex Optimization.
Shih-Wei HuGang-Xuan LinSung-Hsien HsiehWei-Jie LiangChun-Shien LuPublished in: CoRR (2015)
Keyphrases
- convex optimization
- prior information
- basis pursuit
- interior point methods
- prior knowledge
- bayesian inference
- low rank
- norm regularization
- total variation
- primal dual
- low rank matrix
- convex relaxation
- group lasso
- convex formulation
- convex optimization problems
- denoising
- operator splitting
- data sets
- low rank and sparse
- norm minimization
- multi label
- image restoration
- higher order
- object recognition
- high quality