Pages that link to "Item:Q4651902"

The following pages link to An iterative thresholding algorithm for linear inverse problems with a sparsity constraint (Q4651902):

Displaying 50 items.

• Optimal observations-based retrieval of topography in 2D shallow water equations using PC-EnKF (Q2214574) (← links)
• A family of modified spectral projection methods for nonlinear monotone equations with convex constraint (Q2214774) (← links)
• A review on deep learning in medical image reconstruction (Q2218098) (← links)
• Hyper-Laplacian regularized nonlocal low-rank matrix recovery for hyperspectral image compressive sensing reconstruction (Q2224828) (← links)
• Hybrid viscosity implicit scheme for variational inequalities over the fixed point set of an asymptotically nonexpansive mapping in the intermediate sense in Banach spaces (Q2227694) (← links)
• Convolutional proximal neural networks and plug-and-play algorithms (Q2238870) (← links)
• Robust regression with compositional covariates (Q2242144) (← links)
• Identification of alterations in the Jacobian of biochemical reaction networks from steady state covariance data at two conditions (Q2249674) (← links)
• Incrementally updated gradient methods for constrained and regularized optimization (Q2251572) (← links)
• Spectral compressive sensing (Q2252132) (← links)
• A new iterative firm-thresholding algorithm for inverse problems with sparsity constraints (Q2252134) (← links)
• Fast thresholding algorithms with feedbacks for sparse signal recovery (Q2252504) (← links)
• Data-driven tight frame construction and image denoising (Q2252505) (← links)
• A scalable algorithm for MAP estimators in Bayesian inverse problems with Besov priors (Q2254755) (← links)
• Overlapping domain decomposition methods for linear inverse problems (Q2254763) (← links)
• A new spectral method for \(l_1\)-regularized minimization (Q2254769) (← links)
• A shrinkage-thresholding projection method for sparsest solutions of LCPs (Q2258766) (← links)
• Extragradient thresholding methods for sparse solutions of co-coercive ncps (Q2260937) (← links)
• Accelerating dynamic cardiac MR imaging using structured sparse representation (Q2262028) (← links)
• Energy preserved sampling for compressed sensing MRI (Q2262538) (← links)
• Ways to sparse representation: An overview (Q2267103) (← links)
• A numerical exploration of compressed sampling recovery (Q2267399) (← links)
• Feature selection for high-dimensional data (Q2271790) (← links)
• Finite element analysis for identifying the reaction coefficient in PDE from boundary observations (Q2273053) (← links)
• A novel hierarchical fingerprint matching approach (Q2275960) (← links)
• Sparsity of solutions for variational inverse problems with finite-dimensional data (Q2278144) (← links)
• An application of sparse-group Lasso regularization to equity portfolio optimization and sector selection (Q2288970) (← links)
• ROS regression: integrating regularization with optimal scaling regression (Q2292391) (← links)
• A large covariance matrix estimator under intermediate spikiness regimes (Q2293542) (← links)
• Flexible, boundary adapted, nonparametric methods for the estimation of univariate piecewise-smooth functions (Q2293678) (← links)
• An alternating iterative algorithm for image deblurring and denoising problems (Q2299676) (← links)
• A proximal regularized Gauss-Newton-Kaczmarz method and its acceleration for nonlinear ill-posed problems (Q2301398) (← links)
• Optimizing excitation coil currents for advanced magnetorelaxometry imaging (Q2303279) (← links)
• A variational proximal alternating linearized minimization in a given metric for limited-angle CT image reconstruction (Q2307219) (← links)
• An active set Barzilar-Borwein algorithm for \(l_0\) regularized optimization (Q2307750) (← links)
• SAR image despeckling by using nonlocal sparse coding model (Q2312526) (← links)
• Non-concave penalization in linear mixed-effect models and regularized selection of fixed effects (Q2316730) (← links)
• Regularized ranking with convex losses and \(\ell^1\)-penalty (Q2319268) (← links)
• Regularization with metric double integrals of functions with values in a set of vectors (Q2320443) (← links)
• LSALSA: accelerated source separation via learned sparse coding (Q2320559) (← links)
• Block-proximal methods with spatially adapted acceleration (Q2323015) (← links)
• A Peaceman-Rachford splitting method with monotone plus skew-symmetric splitting for nonlinear saddle point problems (Q2333721) (← links)
• Common solutions to a finite family of inclusion problems and an infinite family of fixed point problems by a generalized viscosity implicit scheme including applications (Q2334738) (← links)
• Multiphase segmentation for simultaneously homogeneous and textural images (Q2335573) (← links)
• Generalized cross validation in variable selection with and without shrinkage (Q2343837) (← links)
• A fast image recovery algorithm based on splitting deblurring and denoising (Q2346640) (← links)
• Multi-step fixed-point proximity algorithms for solving a class of optimization problems arising from image processing (Q2348695) (← links)
• Splitting methods with variable metric for Kurdyka-Łojasiewicz functions and general convergence rates (Q2349844) (← links)
• A modified Newton projection method for \(\ell _1\)-regularized least squares image deblurring (Q2353428) (← links)
• Adaptive restart for accelerated gradient schemes (Q2355332) (← links)