Search Results for author:
Found 1 papers, 0 papers with code
Truncated Nuclear Norm Minimization for Image Restoration Based On Iterative Support Detection
Recovering a large matrix from limited measurements is a challenging task arising in many real applications, such as image inpainting, compressive sensing and medical imaging, and this kind of problems are mostly formulated as low-rank matrix approximation problems.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
