Exploiting Random Lead Times for Significant Inventory Cost Savings. | 0 | 0.34 | 2022 |
An improved subspace weighting method using random matrix theory. | 0 | 0.34 | 2020 |
Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior. | 9 | 0.44 | 2018 |
Group-based sparse representation for image compressive sensing reconstruction with non-convex regularization. | 1 | 0.35 | 2018 |
Compressed sensing image reconstruction via adaptive sparse nonlocal regularization. | 8 | 0.42 | 2018 |
Non-convex weighted ℓp nuclear norm based ADMM framework for image restoration. | 1 | 0.35 | 2018 |
Non-Convex Weighted Schatten p-Norm Minimization based ADMM Framework for Image Restoration. | 0 | 0.34 | 2017 |
Image Denoising Using Group Sparsity Residual And External Nonlocal Self-Similarity Prior | 0 | 0.34 | 2017 |
Non-Convex Weighted Lp Minimization based Group Sparse Representation Framework for Image Denoising. | 0 | 0.34 | 2017 |
Image Compressive Sensing Recovery Using Group Sparse Coding via Non-convex Weighted Lp Minimization. | 0 | 0.34 | 2017 |
Nonconvex Weighted $\ell _p$ Minimization Based Group Sparse Representation Framework for Image Denoising | 5 | 0.38 | 2017 |
Group Sparsity Residual Constraint for Image Denoising. | 1 | 0.35 | 2017 |
Analyzing the Weighted Nuclear Norm Minimization and Nuclear Norm Minimization based on Group Sparse Representation. | 1 | 0.35 | 2017 |
Analyzing the group sparsity based on the rank minimization methods | 2 | 0.36 | 2017 |
Analysis of the Group Sparsity based on the Rank Minimization Methods. | 0 | 0.34 | 2017 |
Image Restoration using Group Sparse Representation via Weighted Nuclear Norm Minimization. | 0 | 0.34 | 2016 |