Pages that link to "Item:Q5076010"

The following pages link to Minimizing L ₁ over L ₂ norms on the gradient (Q5076010):

Displaying 11 items.

• Locally sparse reconstruction using the \(\ell^{1,\infty}\)-norm (Q256102) (← links)
• Combined \(\ell_{2}\) data and gradient fitting in conjunction with \(\ell_{1}\) regularization (Q1014872) (← links)
• Efficient color image segmentation via quaternion-based \(L_1/L_2\) Regularization (Q2674278) (← links)
• Minimizing the<i>L</i>^∞Norm of the Gradient with an Energy Constraint (Q5713477) (← links)
• Low-rank matrix recovery problem minimizing a new ratio of two norms approximating the rank function then using an ADMM-type solver with applications (Q6056241) (← links)
• Sorted \(L_1/L_2\) minimization for sparse signal recovery (Q6120011) (← links)
• When can \(l_p\)-norm objective functions be minimized via graph cuts? (Q6165904) (← links)
• A scale-invariant relaxation in low-rank tensor recovery with an application to tensor completion (Q6556789) (← links)
• A stochastic ADMM algorithm for large-scale ptychography with weighted difference of anisotropic and isotropic total variation (Q6557664) (← links)
• An efficient smoothing and thresholding image segmentation framework with weighted anisotropic-isotropic total variation (Q6575311) (← links)
• Poissonian image restoration via the \(L_1/L_2\)-based minimization (Q6608124) (← links)