Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization.
Alessandro FalsoneKostas MargellosSimone GarattiMaria PrandiniPublished in: CDC (2016)
Keyphrases
- convex optimization
- dual decomposition
- norm minimization
- structured prediction
- energy minimization
- map inference
- total variation
- primal dual
- convex relaxation
- lagrangian relaxation
- objective function
- markov random field
- max margin
- graphical models
- image denoising
- machine learning
- feature vectors
- pairwise
- multiscale
- image segmentation