A Generalized Conditional Gradient Method for Dynamic Inverse Problems with Optimal Transport Regularization.
Kristian BrediesMarcello CarioniSilvio FanzonFrancisco RomeroPublished in: Found. Comput. Math. (2023)
Keyphrases
- inverse problems
- gradient method
- optimization methods
- image reconstruction
- global optimization
- convex optimization
- regularization methods
- convex formulation
- regularization method
- optimization problems
- early vision
- convergence rate
- negative matrix factorization
- smoothness constraint
- simulated annealing
- computationally expensive
- step size
- partial differential equations
- super resolution
- pattern recognition