46 citations · 70 across the 9 of their papers we have counts for
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cs.IT2016
Low-rank matrix recovery via rank one tight frame measurements
Holger Rauhut, Ulrich Terstiege
The task of reconstructing a low rank matrix from incomplete linear measurements arises in areas such as machine learning, quantum state tomography and in the phase retrieval probl…
cs.IT2015
Stable low-rank matrix recovery via null space properties
Maryia Kabanava, Richard Kueng, Holger Rauhut +1
The problem of recovering a matrix of low rank from an incomplete and possibly noisy set of linear measurements arises in a number of areas. In order to derive rigorous recovery re…
cs.IT2014
Low rank matrix recovery from rank one measurements
Richard Kueng, Holger Rauhut, Ulrich Terstiege
We study the recovery of Hermitian low rank matrices from undersampled measurements via nuclear norm minimization. We consider the particular scenar…