Pages that link to "Item:Q2697553"
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The following pages link to Proximal gradient algorithm for nonconvex low tubal rank tensor recovery (Q2697553):
Displaying 9 items.
- Low Tucker rank tensor recovery via ADMM based on exact and inexact iteratively reweighted algorithms (Q1678114) (← links)
- Tensor \(N\)-tubal rank and its convex relaxation for low-rank tensor recovery (Q2023171) (← links)
- Tensor-free proximal methods for lifted bilinear/quadratic inverse problems with applications to phase retrieval (Q2052715) (← links)
- Robust tensor recovery with nonconvex and nonsmooth regularization (Q2096313) (← links)
- Low tubal rank tensor recovery using the Bürer-Monteiro factorisation approach. Application to optical coherence tomography (Q2122021) (← links)
- Iterative \(p\)-shrinkage thresholding algorithm for low Tucker rank tensor recovery (Q2212078) (← links)
- Nonconvex tensor rank minimization and its applications to tensor recovery (Q2224917) (← links)
- Robust low-rank tensor recovery: models and algorithms (Q2877087) (← links)
- Iterative singular tube hard thresholding algorithms for tensor recovery (Q6587556) (← links)