430 citations · 1.6k across the 21 of their papers we have counts for
Showing 2015 · cs.CVShow all
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cs.CV2015★ 107 cited
Enhanced Low-Rank Matrix Approximation
Ankit Parekh, Ivan W. Selesnick
This letter proposes to estimate low-rank matrices by formulating a convex optimization problem with non-convex regularization. We employ parameterized non-convex penalty functions…
cs.CV2015★ 60 cited
Convex Denoising using Non-Convex Tight Frame Regularization
Ankit Parekh, Ivan W. Selesnick
This paper considers the problem of signal denoising using a sparse tight-frame analysis prior. The L1 norm has been extensively used as a regularizer to promote sparsity; however,…