Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization (2007)

by Benjamin Recht , Maryam Fazel , Pablo A. Parrilo
Citations:100 - 5 self

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77 An interior-point method for large-scale l1-regularized logistic regression – Kwangmoo Koh, Seung-jean Kim, Stephen Boyd, Yi Lin - 2007
5 ℓ1 Trend Filtering – Seung-Jean Kim, Kwangmoo Koh, Stephen Boyd, Dimitry Gorinevsky - 2007
4 Compressive Sensing – Massimo Fornasier, Holger Rauhut - 2010
4 Random observations on random observations: Sparse signal acquisition and processing – Mark A. Davenport, Kevin F. Kelly, Associate Professor, Ronald A. Devore, Walter E. Koss Professor, Mark A. Davenport - 2010
Compressive sensing: a paradigm shift in signal processing – Olga V. Holtz - 812
Compressed Sensing: “When sparsity meets sampling” – Laurent Jacques, Pierre Vandergheynst - 2010
21 Computational methods for sparse solution of linear inverse problems – Stephen J. Wright - 2009
Index Terms – J. Bobin, J-l. Starck, R. Ottensamer - 802
14 Compressed sensing in astronomy – J. Bobin, J-L. Starck, R. Ottensamer
Real-Time Convex Optimization . . . -- Recent advances that make it easier to design and implement algorithms – Jacob Mattingley, Stephen Boyd - 2010
An Efficient Algorithm for . . . Pixel Camera and Compressive Sensing – Chengbo Li - 2009
18 Sparse Representation For Computer Vision and Pattern Recognition – John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas Huang, Shuicheng Yan - 2009
95 From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images – Alfred M. Bruckstein, David L. Donoho, Michael Elad - 2007
81 Sharp thresholds for high-dimensional and noisy sparsity recovery using l1-constrained quadratic programmming (Lasso) – Martin J. Wainwright - 2006
16 Enhancing Sparsity by Reweighted ℓ1 Minimization – Emmanuel J. Candès, Michael B. Wakin, Stephen P. Boyd - 2007
Efficient Sparse Approximation Methods for Medical Imaging – Ray Maleh - 2009
2 Aysal, “Robust sampling and reconstruction methods for sparse signals in the precense of impulsive noise – Rafael E. Carrillo, Student Member, Kenneth E. Barner, Senior Member, Tuncer C. Aysal - 2009
Compressive Algorithms. Adaptive Solutions of PDEs and Variational Problems – Massimo Fornasier
9 SPARSE SIGNAL RECONSTRUCTION FROM NOISY COMPRESSIVE MEASUREMENTS USING CROSS VALIDATION – Petros Boufounos, Marco F. Duarte, Richard G. Baraniuk