A generalized conditional gradient method for dynamic inverse problems with optimal transport regularization.
Kristian BrediesMarcello CarioniSilvio FanzonFrancisco RomeroPublished in: CoRR (2020)
Keyphrases
- inverse problems
- gradient method
- optimization methods
- image reconstruction
- global optimization
- regularization methods
- convex optimization
- regularization method
- optimization problems
- convex formulation
- convergence rate
- early vision
- partial differential equations
- negative matrix factorization
- optimization method
- neural network
- step size
- optimal solution
- multiscale
- smoothness constraint
- computationally expensive
- evolutionary algorithm
- pairwise
- image segmentation