Pages that link to "Item:Q5089331"
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The following pages link to Dualization and Automatic Distributed Parameter Selection of Total Generalized Variation via Bilevel Optimization (Q5089331):
Displaying 11 items.
- A non-convex denoising model for impulse and Gaussian noise mixture removing using bi-level parameter identification (Q2158253) (← links)
- An investigation on semismooth Newton based augmented Lagrangian method for image restoration (Q2162237) (← links)
- An improved bilevel optimization approach for image super-resolution based on a fractional diffusion tensor (Q2170732) (← links)
- An efficient augmented Lagrangian method with semismooth Newton solver for total generalized variation (Q2697370) (← links)
- Optimality Conditions for Bilevel Imaging Learning Problems with Total Variation Regularization (Q5056917) (← links)
- Bilevel Training Schemes in Imaging for Total Variation--Type Functionals with Convex Integrands (Q5056918) (← links)
- Bilevel optimal parameter learning for a high-order nonlocal multiframe super-resolution problem (Q6141550) (← links)
- Learning Regularization Parameter-Maps for Variational Image Reconstruction Using Deep Neural Networks and Algorithm Unrolling (Q6144067) (← links)
- An adaptive finite element method for distributed elliptic optimal control problems with variable energy regularization (Q6202624) (← links)
- Parameters identification for a nonlinear partial differential equation in image denoising (Q6553753) (← links)
- Learning nonlocal weights for second-order nonlocal super-resolution (Q6657917) (← links)
