Pages that link to "Item:Q493283"
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The following pages link to Computing sparse representation in a highly coherent dictionary based on difference of \(L_1\) and \(L_2\) (Q493283):
Displaying 10 items.
- A stochastic ADMM algorithm for large-scale ptychography with weighted difference of anisotropic and isotropic total variation (Q6557664) (← links)
- Matrix recovery from nonconvex regularized least absolute deviations (Q6557678) (← links)
- A parameterized three-operator splitting algorithm for non-convex minimization problems with applications (Q6561488) (← links)
- A reliable iteration algorithm for one-bit compressive sensing on the unit sphere (Q6565536) (← links)
- A generalized formulation for group selection via ADMM (Q6571367) (← links)
- An efficient smoothing and thresholding image segmentation framework with weighted anisotropic-isotropic total variation (Q6575311) (← links)
- Sparse recovery with coherent frames via \(\ell_{1-2}\)-analysis (Q6591729) (← links)
- From theoretical guarantee to practical performance: selectable and optimal step-lengths for IHT and HTP algorithms in compressed sensing (Q6636480) (← links)
- A nonlocal weighted difference of anisotropic and isotropic total variation to regularize partition boundaries in an image (Q6659774) (← links)
- Compressed data separation under \(\ell_p\) bounded noise (Q6665935) (← links)