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On the heels of compressed sensing, a remarkable new field has very recently emerged.
Complexity of quantifier elimination in the theory of algebraically closed fields
A. L. Chistov and D. Yu. Grigoriev · 1984
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Multiple emitter location and signal parameter estimation
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Using collaborative filtering to weave an information tapestry
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Shape and motion from image streams under orthography: a factorization method
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On the rank minimization problem over a positive semidefinite linear matrix inequality
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Computational study and comparisons of LFT reducibility methods
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Matrix Rank Minimization with Applications
M. Fazel · 2002
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Sampling signals with finite rate of innovation
M. Vetterli, P. Marziliano, and T. Blu · 2002
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Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices
M. Fazel, H. Hindi, and S. Boyd · 2003
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Recovering the missing components in a large noisy low-rank matrix: application to SFM source
P. Chen and D. Suter · 2004
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Decoding by linear programming
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Improved time bounds for near-optimal sparse Fourier representation
A. Gilbert, S. Muthukrishnan, and M. Strauss · 2005
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Semidefinite programming based algorithms for sensor network localization
P. Biswas, T-C. Lian, T-C. Wang, and Y. Ye · 2006
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Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
E. J. Candès, J. Romberg, and T. Tao · 2006
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For most large underdetermined systems of linear equations, the minimal L1-norm solution is also the sparsest solution
D. Donoho · 2006
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Counting faces of randomly-projected polytopes when the projection radically lowers dimension
A singular value thresholding algorithm for matrix completion
J-F. Cai, E. J. Candès, and Z. Shen · 2008
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Exact Matrix Completion via Convex Optimization
E. J. Candès and B. Recht · 2008
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Compressed sensing and robust recovery of low rank matrices
M. Fazel, E. Candès, B. Recht, and P. Parrilo · 2008
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Interior-point method for nuclear norm approximation with application to system identification
Z. Liu and L. Vandenberghe · 2008
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Fixed point and Bregman iterative methods for matrix rank minimization
S. Ma, D. Goldfarb, and L. Chen · 2008
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A remark on global positioning from local distances
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D. L. Donoho and J. Tanner · 2006
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Uncovering shared structures in multiclass classification
Y. Amit, M. Fink, N. Srebro, and S. Ullman · 2007
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Multi-task feature learning
A. Argyriou, T. Evgeniou, and M. Pontil · 2007
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The Dantzig selector: statistical estimation when
E. J. Candès and T. Tao · 2007
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Guaranteed minimum rank solutions of matrix equations via nuclear norm minimization
B. Recht, M. Fazel, and P. Parrilo · 2007
Cited alongside, same era.
http://www.ncdc.noaa.gov/oa/ncdc.html
National climatic data center
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A. Singer · 2008
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The power of convex relaxation: Near-optimal matrix completion
E. J. Candès and T. Tao · 2009
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Matrix completion from a few entries
R. Keshavan, S. Oh, and A. Montanari · 2009
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Uniqueness of low-rank matrix completion by rigidity theory
A. Singer and M. Cucuringu · 2009
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Matrix completion for sensor networks, 2009
C-C. Weng · 2009
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