Primal Recovery from Consensus-Based Dual Decomposition for Distributed Convex Optimization.
Andrea SimonettoHadi Jamali RadPublished in: J. Optim. Theory Appl. (2016)
Keyphrases
- convex optimization
- dual decomposition
- structured prediction
- primal dual
- energy minimization
- map inference
- interior point methods
- markov random field
- lagrangian relaxation
- total variation
- convex programming
- markov logic
- convex optimization problems
- graphical models
- max margin
- computer vision
- parameter learning
- linear programming
- similarity measure
- learning algorithm
- belief propagation
- energy function
- active contours
- semi supervised