Emmanuel J. Candès

	2011
46		Emmanuel J. Candès, Mark A. Davenport: How well can we estimate a sparse vector? CoRR abs/1104.5246: (2011)
45		Emmanuel J. Candès, Benjamin Recht: Simple Bounds for Low-complexity Model Reconstruction CoRR abs/1106.1474: (2011)
44		Emmanuel J. Candès, Yonina C. Eldar, Thomas Strohmer, Vladislav Voroninski: Phase Retrieval via Matrix Completion CoRR abs/1109.0573: (2011)
43		Emmanuel J. Candès, Thomas Strohmer, Vladislav Voroninski: PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming CoRR abs/1109.4499: (2011)
42		Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport: On the Fundamental Limits of Adaptive Sensing CoRR abs/1111.4646: (2011)
41		Mahdi Soltanolkotabi, Emmanuel J. Candès: A Geometric Analysis of Subspace Clustering with Outliers CoRR abs/1112.4258: (2011)
40		Emmanuel J. Candès, Yaniv Plan: A Probabilistic and RIPless Theory of Compressed Sensing. IEEE Transactions on Information Theory 57(11): 7235-7254 (2011)
39		Emmanuel J. Candès, Yaniv Plan: Tight Oracle Inequalities for Low-Rank Matrix Recovery From a Minimal Number of Noisy Random Measurements. IEEE Transactions on Information Theory 57(4): 2342-2359 (2011)
38		Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright: Robust principal component analysis? J. ACM 58(3): 11 (2011)
37		Stephen Becker, Jérôme Bobin, Emmanuel J. Candès: NESTA: A Fast and Accurate First-Order Method for Sparse Recovery. SIAM J. Imaging Sciences 4(1): 1-39 (2011)
	2010
36		Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma: Dense error correction for low-rank matrices via Principal Component Pursuit. ISIT 2010: 1513-1517
35		Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma: Stable Principal Component Pursuit. ISIT 2010: 1518-1522
34		Emmanuel J. Candès: The Power of Convex Relaxation: The Surprising Stories of Matrix Completion and Compressed Sensing. SODA 2010: 1321
33		Emmanuel J. Candès, Yaniv Plan: Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements CoRR abs/1001.0339: (2010)
32		Arvind Ganesh, John Wright, Xiaodong Li, Emmanuel J. Candès, Yi Ma: Dense Error Correction for Low-Rank Matrices via Principal Component Pursuit CoRR abs/1001.2362: (2010)
31		Zihan Zhou, Xiaodong Li, John Wright, Emmanuel J. Candès, Yi Ma: Stable Principal Component Pursuit CoRR abs/1001.2363: (2010)
30		Emmanuel J. Candès, Yonina C. Eldar, Deanna Needell: Compressed Sensing with Coherent and Redundant Dictionaries CoRR abs/1005.2613: (2010)
29		Emmanuel J. Candès, Yaniv Plan: A probabilistic and RIPless theory of compressed sensing CoRR abs/1011.3854: (2010)
28		Emmanuel J. Candès, Terence Tao: The power of convex relaxation: near-optimal matrix completion. IEEE Transactions on Information Theory 56(5): 2053-2080 (2010)
27		Jian-Feng Cai, Emmanuel J. Candès, Zuowei Shen: A Singular Value Thresholding Algorithm for Matrix Completion. SIAM Journal on Optimization 20(4): 1956-1982 (2010)
	2009
26		Jérôme Bobin, Emmanuel J. Candès: A fast and accurate first-order algorithm for compressed sensing. ICIP 2009: 1457-1460
25		Emmanuel J. Candès, Terence Tao: The Power of Convex Relaxation: Near-Optimal Matrix Completion CoRR abs/0903.1476: (2009)
24		Emmanuel J. Candès, Yaniv Plan: Matrix Completion With Noise CoRR abs/0903.3131: (2009)
23		Emmanuel J. Candès, Yaniv Plan: Accurate low-rank matrix recovery from a small number of linear measurements CoRR abs/0910.0413: (2009)
22		Emmanuel J. Candès, Xiaodong Li, Yi Ma, John Wright: Robust Principal Component Analysis? CoRR abs/0912.3599: (2009)
21		Emmanuel J. Candès, Benjamin Recht: Exact Matrix Completion via Convex Optimization. Foundations of Computational Mathematics 9(6): 717-772 (2009)
20		Emmanuel J. Candès, Laurent Demanet, Lexing Ying: A Fast Butterfly Algorithm for the Computation of Fourier Integral Operators. Multiscale Modeling & Simulation 7(4): 1727-1750 (2009)
	2008
19		Emmanuel J. Candès, Benjamin Recht: Exact Matrix Completion via Convex Optimization CoRR abs/0805.4471: (2008)
18		Emmanuel J. Candès, Paige A. Randall: Highly Robust Error Correction byConvex Programming. IEEE Transactions on Information Theory 54(7): 2829-2840 (2008)
	2007
17		Emmanuel J. Candès, Nathaniel Braun, Michael B. Wakin: Sparse Signal and Image Recovery from Compressive Samples. ISBI 2007: 976-979
16		Emmanuel J. Candès, Justin K. Romberg: Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions. Foundations of Computational Mathematics 7(4): 529-531 (2007)
15		Emmanuel J. Candès, Laurent Demanet, Lexing Ying: Fast Computation of Fourier Integral Operators. SIAM J. Scientific Computing 29(6): 2464-2493 (2007)
	2006
14		Emmanuel J. Candès, Justin K. Romberg: Encoding the \ell_p Ball from Limited Measurements. DCC 2006: 33-42
13		Emmanuel J. Candès, Justin K. Romberg: Robust Signal Recovery from Incomplete Observations. ICIP 2006: 1281-1284
12		Emmanuel J. Candès, Paige A. Randall: Highly robust error correction by convex programming CoRR abs/cs/0612124: (2006)
11		Emmanuel J. Candès, Justin K. Romberg: Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions. Foundations of Computational Mathematics 6(2): 227-254 (2006)
10		Emmanuel J. Candès, Terence Tao: Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? IEEE Transactions on Information Theory 52(12): 5406-5425 (2006)
9		Emmanuel J. Candès, Justin K. Romberg, Terence Tao: Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory 52(2): 489-509 (2006)
	2005
8		Emmanuel J. Candès, Mark Rudelson, Terence Tao, Roman Vershynin: Error Correction via Linear Programming. FOCS 2005: 295-308
7		Emmanuel J. Candès, Terence Tao: Decoding by Linear Programming CoRR abs/math/0502327: (2005)
6		Emmanuel J. Candès, Terence Tao: Decoding by linear programming. IEEE Transactions on Information Theory 51(12): 4203-4215 (2005)
	2003
5		Jean-Luc Starck, Fionn Murtagh, Emmanuel J. Candès, David L. Donoho: Gray and color image contrast enhancement by the curvelet transform. IEEE Transactions on Image Processing 12(6): 706-717 (2003)
	2002
4		Jean-Luc Starck, Emmanuel J. Candès, David L. Donoho: The curvelet transform for image denoising. IEEE Transactions on Image Processing 11(6): 670-684 (2002)
3		Emmanuel J. Candès, Franck Guo: New multiscale transforms, minimum total variation synthesis: applications to edge-preserving image reconstruction. Signal Processing 82(11): 1519-1543 (2002)
	2001
2		Emmanuel J. Candès: The curvelet transform for image denoising. ICIP (1) 2001: 7
1		Emmanuel J. Candès, David L. Donoho: Curvelets and Curvilinear Integrals. Journal of Approximation Theory 113(1): 59-90 (2001)

Coauthor Index

1	Ery Arias-Castro	[42]
2	Stephen Becker	[37]
3	Jérôme Bobin	[26] [37]
4	Nathaniel Braun	[17]
5	Jian-Feng Cai	[27]
6	Mark A. Davenport	[42] [46]
7	Laurent Demanet	[15] [20]
8	David L. Donoho	[1] [4] [5]
9	Yonina C. Eldar	[30] [44]
10	Arvind Ganesh	[32] [36]
11	Franck Guo	[3]
12	Xiaodong Li	[22] [31] [32] [35] [36] [38]
13	Yi Ma	[22] [31] [32] [35] [36] [38]
14	Fionn Murtagh	[5]
15	Deanna Needell	[30]
16	Yaniv Plan	[23] [24] [29] [33] [39] [40]
17	Paige A. Randall	[12] [18]
18	Ben Recht (Benjamin Recht)	[19] [21] [45]
19	Justin K. Romberg	[9] [11] [13] [14] [16]
20	Mark Rudelson	[8]
21	Zuowei Shen	[27]
22	Mahdi Soltanolkotabi (Mehdi Soltanolkotabi)	[41]
23	Jean-Luc Starck	[4] [5]
24	Thomas Strohmer	[43] [44]
25	Terence Tao	[6] [7] [8] [9] [10] [25] [28]
26	Roman Vershynin	[8]
27	Vladislav Voroninski	[43] [44]
28	Michael B. Wakin	[17]
29	John Wright	[22] [31] [32] [35] [36] [38]
30	Lexing Ying	[15] [20]
31	Zihan Zhou	[31] [35]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page