Pages that link to "Item:Q734955"

The following pages link to Enhancing sparsity by reweighted \(\ell _{1}\) minimization (Q734955):

Displaying 50 items.

• A nonconvex penalization algorithm with automatic choice of the regularization parameter in sparse imaging (Q5228006) (← links)
• Non-Lipschitz Models for Image Restoration with Impulse Noise Removal (Q5236650) (← links)
• A Global Approach for Solving Edge-Matching Puzzles (Q5250017) (← links)
• Minimization of $\ell_{1-2}$ for Compressed Sensing (Q5251929) (← links)
• Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning (Q5254990) (← links)
• Portfolio Selection with Multiple Spectral Risk Constraints (Q5258454) (← links)
• A New Computational Method for the Sparsest Solutions to Systems of Linear Equations (Q5258945) (← links)
• Sparse Bayesian linear regression using generalized normal priors (Q5272445) (← links)
• Block-sparse compressed sensing: non-convex model and iterative re-weighted algorithm (Q5300386) (← links)
• A new convergence analysis and perturbation resilience of some accelerated proximal forward–backward algorithms with errors (Q5346620) (← links)
• Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity (Q5348469) (← links)
• Sparsity-Assisted Signal Smoothing (Q5358729) (← links)
• A Unified View of Exact Continuous Penalties for $\ell_2$-$\ell_0$ Minimization (Q5359501) (← links)
• High Order Edge Sensors with $\ell^1$ Regularization for Enhanced Discontinuous Galerkin Methods (Q5376560) (← links)
• Sparse learning of partial differential equations with structured dictionary matrix (Q5377550) (← links)
• Sparse signal recovery based on majorization-minimization with enhanced sparsity (Q5381923) (← links)
• CHAOTIC ANALOG-TO-INFORMATION CONVERSION: PRINCIPLE AND RECONSTRUCTABILITY WITH PARAMETER IDENTIFIABILITY (Q5407274) (← links)
• Direct numerical simulation of high-speed transition due to roughness elements (Q5742319) (← links)
• A framework for optimal actuator/sensor selection in a control system (Q5742513) (← links)
• Zero‐attracting variable‐step‐size least mean square algorithms for adaptive sparse channel estimation (Q5743826) (← links)
• A survey on compressive sensing: classical results and recent advancements (Q5855706) (← links)
• Limited-Angle CT Reconstruction via the $L_1/L_2$ Minimization (Q5860341) (← links)
• The linearized alternating direction method of multipliers for low-rank and fused LASSO matrix regression model (Q5861439) (← links)
• Supervised-distributed control with joint performance and communication optimisation (Q5863715) (← links)
• Estimation and Uncertainty Quantification for Piecewise Smooth Signal Recovery (Q5881313) (← links)
• Exact penalization for cardinality and rank-constrained optimization problems via partial regularization (Q5882242) (← links)
• Non-convex regularization and accelerated gradient algorithm for sparse portfolio selection (Q5882243) (← links)
• Orientation estimation of cryo-EM images using projected gradient descent method (Q5885761) (← links)
• Phase retrieval via matrix completion (Q5890671) (← links)
• On an iteratively reweighted linesearch based algorithm for nonconvex composite optimization (Q6042933) (← links)
• An extrapolated iteratively reweighted \(\ell_1\) method with complexity analysis (Q6043137) (← links)
• Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints (Q6051303) (← links)
• Nonconvex optimization with inertial proximal stochastic variance reduction gradient (Q6052662) (← links)
• High-dimensional sparse index tracking based on a multi-step convex optimization approach (Q6053116) (← links)
• Heuristics for Finding Sparse Solutions of Linear Inequalities (Q6053490) (← links)
• Sparse feedback stabilization in high‐order linear systems (Q6054491) (← links)
• Smoothing neural network for \(L_0\) regularized optimization problem with general convex constraints (Q6055122) (← links)
• Dynamic string‐averaging CQ‐methods for the split feasibility problem with percentage violation constraints arising in radiation therapy treatment planning (Q6056101) (← links)
• Model selection via reweighted partial sparse recovery (Q6056227) (← links)
• Statistical Inference, Learning and Models in Big Data (Q6064668) (← links)
• Sparse reconstruction via the mixture optimization model with iterative support estimate (Q6065953) (← links)
• Sparse signal reconstruction via collaborative neurodynamic optimization (Q6076704) (← links)
• Neural network for a class of sparse optimization with \(L_0\)-regularization (Q6077003) (← links)
• Weighted sparsity regularization for source identification for elliptic PDEs (Q6080354) (← links)
• Variable selection in saturated and supersaturated designs via lp-lq minimization (Q6082996) (← links)
• Sparse and risk diversification portfolio selection (Q6097487) (← links)
• Doubly iteratively reweighted algorithm for constrained compressed sensing models (Q6097766) (← links)
• Derivative-based SINDy (DSINDy): addressing the challenge of discovering governing equations from noisy data (Q6099213) (← links)
• Proximal variable metric method with spectral diagonal update for large scale sparse optimization (Q6099831) (← links)
• Accelerated sparse recovery via gradient descent with nonlinear conjugate gradient momentum (Q6101532) (← links)