The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems.
Nicholas BoydGeoffrey SchiebingerBenjamin RechtPublished in: SIAM J. Optim. (2017)
Keyphrases
- gradient method
- inverse problems
- optimization methods
- image reconstruction
- convex optimization
- global optimization
- optimization method
- optimization problems
- negative matrix factorization
- simulated annealing
- convergence rate
- partial differential equations
- high dimensional
- step size
- smoothness constraint
- sparse representation
- early vision
- cost function
- neural network
- evolutionary algorithm
- pairwise
- high quality
- computer vision