Pages that link to "Item:Q4834376"

The following pages link to Sparse Approximate Solutions to Linear Systems (Q4834376):

Displaying 50 items.

• Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing (Q5356981) (← links)
• A Unified View of Exact Continuous Penalties for $\ell_2$-$\ell_0$ Minimization (Q5359501) (← links)
• (Q5381124) (← links)
• An Inexact Projected Gradient Method for Sparsity-Constrained Quadratic Measurements Regression (Q5384750) (← links)
• Sparse Approximation via Penalty Decomposition Methods (Q5408227) (← links)
• Robust Tensor Completion: Equivalent Surrogates, Error Bounds, and Algorithms (Q5863527) (← links)
• Fluorescence image deconvolution microscopy via generative adversarial learning (FluoGAN) (Q6042929) (← links)
• Solving constrained nonsmooth group sparse optimization via group Capped-\(\ell_1\) relaxation and group smoothing proximal gradient algorithm (Q6043130) (← links)
• A smoothing inertial neural network for sparse signal reconstruction with noise measurements via \(L_p-L_1\) minimization (Q6045814) (← links)
• Grouped variable selection with discrete optimization: computational and statistical perspectives (Q6046300) (← links)
• Weak and strong convergence analysis of Elman neural networks via weight decay regularization (Q6051200) (← links)
• Smoothing neural network for \(L_0\) regularized optimization problem with general convex constraints (Q6055122) (← links)
• Simultaneous feature selection and outlier detection with optimality guarantees (Q6055709) (← links)
• Block-sparse recovery and rank minimization using a weighted \(l_p-l_q\) model (Q6062413) (← links)
• Solution sets of three sparse optimization problems for multivariate regression (Q6064025) (← links)
• Sparse reconstruction via the mixture optimization model with iterative support estimate (Q6065953) (← links)
• A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates (Q6067162) (← links)
• A nonlinear kernel SVM Classifier via \(L_{0/1}\) soft-margin loss with classification performance (Q6073171) (← links)
• (Q6073213) (← links)
• Neural network for a class of sparse optimization with \(L_0\)-regularization (Q6077003) (← links)
• Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function (Q6077029) (← links)
• Neurodynamic approaches for sparse recovery problem with linear inequality constraints (Q6077666) (← links)
• Smoothing inertial neurodynamic approach for sparse signal reconstruction via \(L_p\)-norm minimization (Q6078747) (← links)
• Time‐optimal <i>L</i>¹/<i>L</i>² norms optimal control for linear time‐invariant systems (Q6078843) (← links)
• A unifying framework for sparsity-constrained optimization (Q6086139) (← links)
• Sparse convex optimization toolkit: a mixed-integer framework (Q6087059) (← links)
• Comparing different stabilization strategies for reduced order modeling of viscoelastic fluid flow problems (Q6095944) (← 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)
• Study on \(L_1\) over \(L_2\) Minimization for nonnegative signal recovery (Q6101685) (← links)
• Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint (Q6106165) (← links)
• Support Recovery and Parameter Identification of Multivariate ARMA Systems with Exogenous Inputs (Q6107866) (← links)
• Sorted \(L_1/L_2\) minimization for sparse signal recovery (Q6120011) (← links)
• A wonderful triangle in compressed sensing (Q6122304) (← links)
• Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions (Q6125484) (← links)
• A neurodynamic algorithm for sparse signal reconstruction with finite-time convergence (Q6135543) (← links)
• Sparse control for continuous‐time systems (Q6136594) (← links)
• \(\boldsymbol{L_1-\beta L_q}\) Minimization for Signal and Image Recovery (Q6144050) (← links)
• LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing (Q6148354) (← links)
• An automated exact solution framework towards solving the logistic regression best subset selection problem (Q6150320) (← links)
• A non-convex piecewise quadratic approximation of \(\ell_0\) regularization: theory and accelerated algorithm (Q6162509) (← links)
• A reduced half thresholding algorithm (Q6164988) (← links)
• Sparse regression for data-driven deterrence functions in gravity models (Q6170576) (← links)
• Robust amplitude method with \(L_{1/2}\)-regularization for compressive phase retrieval (Q6175366) (← links)
• A majorization penalty method for SVM with sparse constraint (Q6175561) (← links)
• Sparsity-Inducing Nonconvex Nonseparable Regularization for Convex Image Processing (Q6176003) (← links)
• A Corrected Tensor Nuclear Norm Minimization Method for Noisy Low-Rank Tensor Completion (Q6176008) (← links)
• A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems (Q6177008) (← links)
• On sparsity‐inducing methods in system identification and state estimation (Q6177342) (← links)
• Scaled proximal gradient methods for sparse optimization problems (Q6184263) (← links)