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cs.IT2018
Nonconvex Robust Low-rank Matrix Recovery
Xiao Li, Zhihui Zhu, Anthony Man-Cho So +1
In this paper we study the problem of recovering a low-rank matrix from a number of random linear measurements that are corrupted by outliers taking arbitrary values. We consider a…
cs.IT2018
Sparse Recovery over Graph Incidence Matrices
Mengnan Zhao, M. Devrim Kaba, René Vidal +2
Classical results in sparse recovery guarantee the exact reconstruction of -sparse signals under assumptions on the dictionary that are either too strong or NP-hard to check. Mo…