Pages that link to "Item:Q5174308"
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The following pages link to Total Variation Regularization for Manifold-Valued Data (Q5174308):
Displaying 45 items.
- A second-order TV-type approach for inpainting and denoising higher dimensional combined cyclic and vector space data (Q294409) (← links)
- Mumford-Shah and Potts regularization for manifold-valued data (Q294412) (← links)
- Restoration of manifold-valued images by half-quadratic minimization (Q326374) (← links)
- Nonlocal inpainting of manifold-valued data on finite weighted graphs (Q1689202) (← links)
- Regular 1-harmonic flow (Q1740497) (← links)
- Priors with coupled first and second order differences for manifold-valued image processing (Q1799618) (← links)
- On the discontinuity of images recovered by noncovex nonsmooth regularized isotropic models with box constraints (Q2000487) (← links)
- Efficient alternating minimization methods for variational edge-weighted colorization models (Q2000545) (← links)
- Numerical analysis of constrained total variation flows (Q2042473) (← links)
- Fenchel duality theory and a primal-dual algorithm on Riemannian manifolds (Q2067679) (← links)
- Total variation regularized Fréchet regression for metric-space valued data (Q2073719) (← links)
- Manifold regularization nonnegative triple decomposition of tensor sets for image compression and representation (Q2116615) (← links)
- Diffusion tensor regularization with metric double integrals (Q2122154) (← links)
- A unified approach for a 1D generalized total variation problem (Q2149555) (← links)
- Diffusion generated methods for denoising target-valued images (Q2176514) (← links)
- A new numerical scheme for discrete constrained total variation flows and its convergence (Q2201089) (← links)
- Regularization with metric double integrals of functions with values in a set of vectors (Q2320443) (← links)
- Combined first and second order variational approaches for image processing (Q2351702) (← links)
- A local estimate for vectorial total variation minimization in one dimension (Q2414210) (← links)
- A second order nonsmooth variational model for restoring manifold-valued images (Q2790077) (← links)
- Exact algorithms for \(L^1\)-TV regularization of real-valued or circle-valued signals (Q2790079) (← links)
- A Parallel Douglas–Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds (Q3188211) (← links)
- Geometric Finite Elements (Q3300532) (← links)
- Non-smooth Variational Regularization for Processing Manifold-Valued Data (Q3300533) (← links)
- Lifting Methods for Manifold-Valued Variational Problems (Q3300534) (← links)
- Assignment Flows (Q3300540) (← links)
- First Order Methods for Optimization on Riemannian Manifolds (Q3300552) (← links)
- Manifold-Valued Data in Medical Imaging Applications (Q3300558) (← links)
- Dissipative Numerical Schemes on Riemannian Manifolds with Applications to Gradient Flows (Q4558232) (← links)
- Jump-penalized least absolute values estimation of scalar or circle-valued signals (Q4603706) (← links)
- Total variation regularization on Riemannian manifolds by iteratively reweighted minimization (Q4606520) (← links)
- A Graph Framework for Manifold-Valued Data (Q4686918) (← links)
- Total Generalized Variation for Manifold-Valued Data (Q4689778) (← links)
- Structure-preserving deep learning (Q5014474) (← links)
- Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields (Q5043730) (← links)
- Fenchel Duality and a Separation Theorem on Hadamard Manifolds (Q5080506) (← links)
- Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds (Q5108487) (← links)
- Wavelet Sparse Regularization for Manifold-Valued Data (Q5112041) (← links)
- Higher-order total variation approaches and generalisations (Q5139310) (← links)
- A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics (Q5266380) (← links)
- An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising (Q5860376) (← links)
- Regularizing Orientation Estimation in Cryogenic Electron Microscopy Three-Dimensional Map Refinement through Measure-Based Lifting over Riemannian Manifolds (Q6080958) (← links)
- Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper (Q6080965) (← links)
- Nonsmooth nonconvex optimization on Riemannian manifolds via bundle trust region algorithm (Q6568928) (← links)
- Denoising of sphere- and SO(3)-valued data by relaxed Tikhonov regularization (Q6648733) (← links)
