Pages that link to "Item:Q778013"

The following pages link to The \(\ell_{2,q}\) regularized group sparse optimization: lower bound theory, recovery bound and algorithms (Q778013):

Displaying 17 items.

• Robust group lasso: model and recoverability (Q1790464) (← links)
• An efficient and globally convergent algorithm for \(\ell_{p,q} - \ell_r\) model in group sparse optimization (Q1984711) (← links)
• The \(\ell_{2,p}\) regularized total variation with overlapping group sparsity prior for image restoration with impulse noise (Q2098805) (← links)
• Group sparse recovery in impulsive noise via alternating direction method of multipliers (Q2197950) (← links)
• Convergence and stability analysis of iteratively reweighted least squares for noisy block sparse recovery (Q2238869) (← links)
• Globally sparse and locally dense signal recovery for compressed sensing (Q2410784) (← links)
• (Q5037987) (← links)
• A General Non-Lipschitz Infimal Convolution Regularized Model: Lower Bound Theory and Algorithm (Q5043740) (← links)
• Difference-of-Convex Algorithms for a Class of Sparse Group $\ell_0$ Regularized Optimization Problems (Q5093646) (← links)
• Solving constrained nonsmooth group sparse optimization via group Capped-\(\ell_1\) relaxation and group smoothing proximal gradient algorithm (Q6043130) (← links)
• Continuous exact relaxation and alternating proximal gradient algorithm for partial sparse and partial group sparse optimization problems (Q6569683) (← links)
• Group sparse structural smoothing recovery: model, statistical properties and algorithm (Q6570353) (← links)
• Joint sparse optimization: lower-order regularization method and application in cell fate conversion (Q6581202) (← links)
• Generalized nonconvex nonsmooth four-directional total variation with overlapping group sparsity for image restoration (Q6582004) (← links)
• Smoothing composite proximal gradient algorithm for sparse group Lasso problems with nonsmooth loss functions (Q6584749) (← links)
• Non-Lipschitz variational models and their iteratively reweighted least squares algorithms for image denoising on surfaces (Q6587643) (← links)
• Iteratively reweighted least squares for block sparse signal recovery with unconstrained \(l_{2,p}\) minimization (Q6649926) (← links)