Pages that link to "Item:Q1932848"

The following pages link to A first-order primal-dual algorithm for convex problems with applications to imaging (Q1932848):

Displaying 50 items.

• The Geometry of Sparse Analysis Regularization (Q6158006) (← links)
• Anisotropic Chan-Vese segmentation (Q6158318) (← links)
• Understanding the convergence of the preconditioned PDHG method: a view of indefinite proximal ADMM (Q6158982) (← links)
• Smooth monotone stochastic variational inequalities and saddle point problems: a survey (Q6160072) (← links)
• Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems (Q6161309) (← links)
• An optimal fluid optical flow registration for super-resolution with Lamé parameters learning (Q6161545) (← links)
• Deautoconvolution in the two-dimensional case (Q6163341) (← links)
• Saturation-value based higher-order regularization for color image restoration (Q6164175) (← links)
• Faster first-order primal-dual methods for linear programming using restarts and sharpness (Q6165583) (← links)
• Resolvent splitting for sums of monotone operators with minimal lifting (Q6165585) (← links)
• Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient (Q6168888) (← links)
• First-order methods for convex optimization (Q6169988) (← links)
• On and Beyond Total Variation Regularization in Imaging: The Role of Space Variance (Q6170448) (← links)
• A two-stage numerical approach for the sparse initial source identification of a diffusion–advection equation ^* (Q6171606) (← links)
• Data-Driven Mirror Descent with Input-Convex Neural Networks (Q6171691) (← links)
• Nonlocal Basis Pursuit: Nonlocal Optimal Design of Conductive Domains in the Vanishing Material Limit (Q6172784) (← links)
• Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch (Q6173510) (← links)
• Elastica Models for Color Image Regularization (Q6173531) (← links)
• A New Operator Splitting Method for the Euler Elastica Model for Image Smoothing (Q6176007) (← links)
• The operator splitting schemes revisited: primal-dual gap and degeneracy reduction by a unified analysis (Q6181369) (← links)
• Enhancing electrical impedance tomography reconstruction using learned half-quadratic splitting networks with Anderson acceleration (Q6182320) (← links)
• A partially inertial customized Douglas-Rachford splitting method for a class of structured optimization problems (Q6184273) (← links)
• Color image restoration with mixed Gaussian-Cauchy noise and blur (Q6184780) (← links)
• Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming (Q6188510) (← links)
• A second order primal-dual dynamical system for a convex-concave bilinear saddle point problem (Q6189678) (← links)
• Template-based image reconstruction facing different topologies (Q6191359) (← links)
• Nonlocal Bounded Variations with Applications (Q6195322) (← links)
• (Q6198995) (← links)
• On mathematical modeling in image reconstruction and beyond (Q6200218) (← links)
• A first-order computational algorithm for reaction-diffusion type equations via primal-dual hybrid gradient method (Q6200402) (← links)
• A New Insight on Augmented Lagrangian Method with Applications in Machine Learning (Q6493955) (← links)
• Accelerated forward–backward algorithms for structured monotone inclusions (Q6498412) (← links)
• Non-monotone boosted DC and Caputo fractional tailored finite point algorithm for Rician denoising and deblurring (Q6538520) (← links)
• Polynomial preconditioners for regularized linear inverse problems (Q6541910) (← links)
• Image segmentation using Bayesian inference for convex variant Mumford-Shah variational model (Q6541913) (← links)
• Speckle noise removal via learned variational models (Q6546946) (← links)
• Optimal ecological transition path of a credit portfolio distribution, based on multidate Monge-Kantorovich formulation (Q6549627) (← links)
• Calibrating multi-dimensional complex ODE from noisy data via deep neural networks (Q6556771) (← links)
• Generalized variational framework with minimax optimization for parametric blind deconvolution (Q6557638) (← links)
• Nonconvex weighted variational metal artifacts removal via convergent primal-dual algorithms (Q6557653) (← links)
• Deep unrolling networks with recurrent momentum acceleration for nonlinear inverse problems (Q6557671) (← links)
• On dynamical system modeling of learned primal-dual with a linear operator \(\mathcal{K}\): stability and convergence properties (Q6557695) (← links)
• Alternated inertial forward-backward-forward splitting algorithm (Q6559156) (← links)
• Optimal control problem with nonlinear fractional system constraint applied to image restoration (Q6560068) (← links)
• Block-wise primal-dual algorithms for large-scale doubly penalized ANOVA modeling (Q6561270) (← links)
• Forward-backward algorithm for functions with locally Lipschitz gradient: applications to mean field games (Q6564759) (← links)
• Proximal methods for point source localisation (Q6567231) (← links)
• An efficient smoothing and thresholding image segmentation framework with weighted anisotropic-isotropic total variation (Q6575311) (← links)
• A second-order image denoising model for contrast preservation (Q6575312) (← links)
• A review on the adaptive-ridge algorithm with several extensions (Q6581677) (← links)