Decomposition of non-convex optimization via bi-level distributed ALADIN.
Alexander EngelmannYuning JiangBoris HouskaTimm FaulwasserPublished in: CoRR (2019)
Keyphrases
- convex optimization
- bi level
- gray scale
- interior point methods
- low rank
- convex programming
- primal dual
- convex optimization problems
- image compression
- total variation
- convex relaxation
- convex constraints
- augmented lagrangian
- image restoration
- convex formulation
- semidefinite program
- machine learning
- alternating direction method of multipliers
- norm minimization
- evolutionary algorithm
- object recognition
- image processing
- feature selection