Performance analysis of joint-sparse recovery from multiple measurement vectors with prior information via convex optimization.
Shih-Wei HuGang-Xuan LinSung-Hsien HsiehWei-Jie LiangChun-Shien LuPublished in: ICASSP (2016)
Keyphrases
- convex optimization
- prior information
- norm regularization
- interior point methods
- basis pursuit
- prior knowledge
- total variation
- bayesian inference
- convex optimization problems
- primal dual
- low rank matrix
- low rank
- feature vectors
- high dimensional
- convex relaxation
- group lasso
- sparse representation
- image processing
- multiple kernel learning
- canonical correlation analysis
- feature extraction
- face recognition
- convex formulation
- image segmentation