A New Sufficient Condition for Non-Convex Sparse Recovery via Weighted $\ell _{r}\!-\!\ell _{1}$ Minimization.
Jianwen HuangFeng ZhangJinping JiaPublished in: IEEE Signal Process. Lett. (2022)
Keyphrases
- sufficient conditions
- sparse representation
- norm minimization
- convex optimization
- regularization term
- lyapunov function
- real valued
- fixed point
- asymptotic stability
- learning problems
- exponential stability
- interior point methods
- uniform convergence
- high dimensional
- semidefinite
- linear complementarity problem
- convex hull
- dimensionality reduction
- risk minimization
- equilibrium point
- image segmentation
- linear systems
- lower bound
- objective function