An efficient approach for nonconvex semidefinite optimization via customized alternating direction method of multipliers.
Chuangchuang SunPublished in: CoRR (2022)
Keyphrases
- semidefinite
- convex optimization
- alternating direction method of multipliers
- convex relaxation
- interior point methods
- image restoration and reconstruction
- convex sets
- total variation
- semidefinite programming
- interior point
- multi label
- primal dual
- higher dimensional
- norm minimization
- globally optimal
- low rank
- multiple kernel learning
- optimization methods
- sufficient conditions
- learning algorithm
- light field
- high order
- matrix completion
- optimization problems
- objective function
- image processing