Pages that link to "Item:Q734955"

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

Displaying 50 items.

• Nonconcave penalized composite conditional likelihood estimation of sparse Ising models (Q693730) (← links)
• Deconvolution under Poisson noise using exact data fidelity and synthesis or analysis sparsity priors (Q713906) (← links)
• Complexity of the relaxed Peaceman-Rachford splitting method for the sum of two maximal strongly monotone operators (Q721953) (← links)
• A chaotic iterative algorithm based on linearized Bregman iteration for image deblurring (Q726361) (← links)
• Enhancing sparsity of Hermite polynomial expansions by iterative rotations (Q729367) (← links)
• Convergence of the reweighted \(\ell_1\) minimization algorithm for \(\ell_2-\ell_p\) minimization (Q742293) (← links)
• A constrained optimization reformulation and a feasible descent direction method for \(L_{1/2}\) regularization (Q742307) (← links)
• Successive convex approximations to cardinality-constrained convex programs: a piecewise-linear DC approach (Q742312) (← links)
• Group sparse optimization for learning predictive state representations (Q778374) (← links)
• A theoretical understanding of self-paced learning (Q778415) (← links)
• Enhanced joint sparsity via iterative support detection (Q778436) (← links)
• Twist tensor total variation regularized-reweighted nuclear norm based tensor completion for video missing area recovery (Q781059) (← links)
• Stable portfolio selection strategy for mean-variance-CVaR model under high-dimensional scenarios (Q783138) (← links)
• Direction of arrival estimation via reweighted \(l_1\) norm penalty algorithm for monostatic MIMO radar (Q784565) (← links)
• An enhanced logical benders approach for linear programs with complementarity constraints (Q785626) (← links)
• Structured identification for network reconstruction of RC-models (Q826856) (← links)
• Iteratively weighted thresholding homotopy method for the sparse solution of underdetermined linear equations (Q829377) (← links)
• Fast \(\ell _{1}\) minimization by iterative thresholding for multidimensional NMR spectroscopy (Q836250) (← links)
• Feature selection in machine learning: an exact penalty approach using a difference of convex function algorithm (Q890292) (← links)
• Pruning of error correcting output codes by optimization of accuracy-diversity trade off (Q890296) (← links)
• Comparison of parametric sparse recovery methods for ISAR image formation (Q893680) (← links)
• SLOPE-adaptive variable selection via convex optimization (Q902886) (← links)
• Iterative reweighted total generalized variation based Poisson noise removal model (Q907547) (← links)
• Segmentation of ARX-models using sum-of-norms regularization (Q976288) (← links)
• Estimating the dimension of a model (Q1247128) (← links)
• Sparse high-dimensional fractional-norm support vector machine via DC programming (Q1615094) (← links)
• A linearly convergent algorithm for sparse signal reconstruction (Q1615367) (← links)
• Tuning parameter selection in sparse regression modeling (Q1621202) (← links)
• Computation of sparse and dense equilibrium strategies of evolutionary games (Q1630457) (← links)
• Variable selection via generalized SELO-penalized linear regression models (Q1640691) (← links)
• Improved adaptive sparse channel estimation using mixed square/fourth error criterion (Q1660689) (← links)
• A new sensor selection scheme for Bayesian learning based sparse signal recovery in WSNs (Q1661457) (← links)
• Prior model identification during subsurface flow data integration with adaptive sparse representation techniques (Q1663631) (← links)
• Speckle noise reduction via nonconvex high total variation approach (Q1666177) (← links)
• Compressed sensing of data with a known distribution (Q1669057) (← links)
• Mixed Hölder matrix discovery via wavelet shrinkage and Calderón-Zygmund decompositions (Q1669061) (← links)
• Recovery of block sparse signals under the conditions on block RIC and ROC by BOMP and BOMMP (Q1673807) (← links)
• Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression (Q1677029) (← links)
• Optimal network design for synchronization of coupled oscillators (Q1680919) (← links)
• An improved algorithm for the \(L_2-L_p\) minimization problem (Q1683685) (← links)
• A generalized elastic net regularization with smoothed \(\ell _{q}\) penalty for sparse vector recovery (Q1687319) (← links)
• Online fault diagnosis for nonlinear power systems (Q1689341) (← links)
• Genetic algorithm versus classical methods in sparse index tracking (Q1693854) (← links)
• \(\ell _p\) regularized low-rank approximation via iterative reweighted singular value minimization (Q1694395) (← links)
• Image denoising using combined higher order non-convex total variation with overlapping group sparsity (Q1710972) (← links)
• Weak fault detection of tapered rolling bearing based on penalty regularization approach (Q1712040) (← links)
• Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework (Q1712546) (← links)
• An iterative support shrinking algorithm for non-Lipschitz optimization in image restoration (Q1716780) (← links)
• Bound alternative direction optimization for image deblurring (Q1717868) (← links)
• Efficient LED-SAC sparse estimator using fast sequential adaptive coordinate-wise optimization (LED-2SAC) (Q1718121) (← links)