Year |
Citation |
Score |
2020 |
Ravishankar S, Ma A, Needell D. Analysis of fast structured dictionary learning. Information and Inference : a Journal of the Ima. 9: 785-811. PMID 33343894 DOI: 10.1093/Imaiai/Iaz028 |
0.375 |
|
2020 |
Molitor D, Needell D. An iterative method for classification of binary data Information and Inference: a Journal of the Ima. DOI: 10.1093/Imaiai/Iaaa003 |
0.328 |
|
2020 |
Rebrova E, Needell D. On block Gaussian sketching for the Kaczmarz method Numerical Algorithms. 1-31. DOI: 10.1007/S11075-020-00895-9 |
0.456 |
|
2020 |
Moorman JD, Tu TK, Molitor D, Needell D. Randomized Kaczmarz with averaging Bit Numerical Mathematics. 1-23. DOI: 10.1007/S10543-020-00824-1 |
0.405 |
|
2020 |
Molitor D, Needell D, Ward R. Bias of Homotopic Gradient Descent for the Hinge Loss Applied Mathematics and Optimization. 1-27. DOI: 10.1007/S00245-020-09656-5 |
0.351 |
|
2019 |
Haddock J, Needell D. Randomized Projection Methods for Linear Systems with Arbitrarily Large Sparse Corruptions Siam Journal On Scientific Computing. 41: S19-S36. DOI: 10.1137/18M1179213 |
0.328 |
|
2019 |
Ma A, Zhou Y, Rush C, Baron D, Needell D. An Approximate Message Passing Framework for Side Information Ieee Transactions On Signal Processing. 67: 1875-1888. DOI: 10.1109/Tsp.2019.2899286 |
0.35 |
|
2019 |
Fukshansky L, Needell D, Sudakov B. An algebraic perspective on integer sparse recovery Applied Mathematics and Computation. 340: 31-42. DOI: 10.1016/J.Amc.2018.08.007 |
0.449 |
|
2018 |
Choi W, Needell D, Nelson S. Boltzmann enhancements of biquasile counting invariants Journal of Knot Theory and Its Ramifications. 27: 1850068. DOI: 10.1142/S0218216518500682 |
0.303 |
|
2018 |
Ma A, Needell D, Ramdas A. Iterative Methods for Solving Factorized Linear Systems Siam Journal On Matrix Analysis and Applications. 39: 104-122. DOI: 10.1137/17M1115678 |
0.417 |
|
2018 |
Gu X, Tu S, Shi HM, Case M, Needell D, Plan Y. Optimizing Quantization for Lasso Recovery Ieee Signal Processing Letters. 25: 45-49. DOI: 10.1109/Lsp.2017.2770018 |
0.375 |
|
2018 |
Haddock J, Needell D. On Motzkin’s method for inconsistent linear systems Bit Numerical Mathematics. 59: 387-401. DOI: 10.1007/S10543-018-0737-6 |
0.397 |
|
2017 |
Hefny A, Needell D, Ramdas A. Rows versus Columns: Randomized Kaczmarz or Gauss--Seidel for Ridge Regression Siam Journal On Scientific Computing. 39: S528-S542. DOI: 10.1137/16M1077891 |
0.366 |
|
2017 |
De Loera JA, Haddock J, Needell D. A Sampling Kaczmarz--Motzkin Algorithm for Linear Feasibility Siam Journal On Scientific Computing. 39: S66-S87. DOI: 10.1137/16M1073807 |
0.411 |
|
2017 |
Nguyen N, Needell D, Woolf T. Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints Ieee Transactions On Information Theory. 63: 6869-6895. DOI: 10.1109/Tit.2017.2749330 |
0.496 |
|
2017 |
Baraniuk RG, Foucart S, Needell D, Plan Y, Wootters M. Exponential Decay of Reconstruction Error From Binary Measurements of Sparse Signals Ieee Transactions On Information Theory. 63: 3368-3385. DOI: 10.1109/Tit.2017.2688381 |
0.403 |
|
2017 |
Baraniuk R, Foucart S, Needell D, Plan Y, Wootters M. One-bit compressive sensing of dictionary-sparse signals Information and Inference: a Journal of the Ima. 7: 83-104. DOI: 10.1093/Imaiai/Iax009 |
0.435 |
|
2017 |
Saadat A, Safari A, Needell D. IRG2016: RBF-based regional geoid model of Iran Studia Geophysica Et Geodaetica. 62: 380-407. DOI: 10.1007/S11200-016-0679-X |
0.334 |
|
2016 |
Davenport MA, Massimino AK, Needell D, Woolf T. Constrained Adaptive Sensing Ieee Transactions On Signal Processing. 64: 5437-5449. DOI: 10.1109/Tsp.2016.2597130 |
0.391 |
|
2016 |
Saadat SA, Safari A, Needell D. Sparse Reconstruction of Regional Gravity Signal Based on Stabilized Orthogonal Matching Pursuit (SOMP) Pure and Applied Geophysics. 173: 2087-2099. DOI: 10.1007/S00024-015-1228-1 |
0.428 |
|
2015 |
Ma A, Needell D, Ramdas A. Convergence properties of the randomized extended gauss-seidel and kaczmarz methods Siam Journal On Matrix Analysis and Applications. 36: 1590-1604. DOI: 10.1137/15M1014425 |
0.425 |
|
2015 |
Krahmer F, Needell D, Ward R. Compressive sensing with redundant dictionaries and structured measu rements Siam Journal On Mathematical Analysis. 47: 4606-4629. DOI: 10.1137/151005245 |
0.384 |
|
2015 |
Needell D, Zhao R, Zouzias A. Randomized block Kaczmarz method with projection for solving least squares Linear Algebra and Its Applications. 484: 322-343. DOI: 10.1016/J.Laa.2015.06.027 |
0.426 |
|
2015 |
Giryes R, Needell D. Near oracle performance and block analysis of signal space greedy methods Journal of Approximation Theory. 194: 157-174. DOI: 10.1016/J.Jat.2015.02.007 |
0.459 |
|
2015 |
Giryes R, Needell D. Greedy signal space methods for incoherence and beyond Applied and Computational Harmonic Analysis. 39: 1-20. DOI: 10.1016/J.Acha.2014.07.004 |
0.406 |
|
2015 |
Briskman J, Needell D. Block Kaczmarz Method with Inequalities Journal of Mathematical Imaging and Vision. 52: 385-396. DOI: 10.1007/S10851-014-0539-7 |
0.422 |
|
2014 |
Ma Y, Baron D, Needell D. Two-part reconstruction with noisy-sudocodes Ieee Transactions On Signal Processing. 62: 6323-6334. DOI: 10.1109/Tsp.2014.2362892 |
0.417 |
|
2014 |
Needell D, Tropp JA. Paved with good intentions: Analysis of a randomized block Kaczmarz method Linear Algebra and Its Applications. 441: 199-221. DOI: 10.1016/J.Laa.2012.12.022 |
0.437 |
|
2014 |
Chen G, Divekar A, Needell D. Guaranteed sparse signal recovery with highly coherent sensing matrices Sampling Theory in Signal and Image Processing. 13: 91-109. |
0.33 |
|
2013 |
Needell D, Ward R. Near-optimal compressed sensing guarantees for total variation minimization. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 22: 3941-9. PMID 23708808 DOI: 10.1109/Tip.2013.2264681 |
0.399 |
|
2013 |
Needell D, Ward R. Stable image reconstruction using total variation minimization Siam Journal On Imaging Sciences. 6: 1035-1058. DOI: 10.1137/120868281 |
0.341 |
|
2013 |
Davenport MA, Needell D, Wakin MB. Signal space CoSaMP for sparse recovery with redundant dictionaries Ieee Transactions On Information Theory. 59: 6820-6829. DOI: 10.1109/Tit.2013.2273491 |
0.45 |
|
2013 |
Jamil N, Needell D, Muller J, Lutteroth C, Weber G. Kaczmarz algorithm with soft constraints for user interface layout Proceedings - International Conference On Tools With Artificial Intelligence, Ictai. 818-824. DOI: 10.1109/ICTAI.2013.125 |
0.333 |
|
2013 |
Needell D, Ward R. Two-Subspace Projection Method for Coherent Overdetermined Systems Journal of Fourier Analysis and Applications. 19: 256-269. DOI: 10.1007/S00041-012-9248-Z |
0.44 |
|
2012 |
Eldar YC, Needell D, Plan Y. Uniqueness conditions for low-rank matrix recovery Applied and Computational Harmonic Analysis. 33: 309-314. DOI: 10.1117/12.891933 |
0.341 |
|
2012 |
Davenport MA, Needell D, Wakin MB. CoSaMP with redundant dictionaries Conference Record - Asilomar Conference On Signals, Systems and Computers. 263-267. DOI: 10.1109/ACSSC.2012.6489003 |
0.351 |
|
2011 |
Candès EJ, Eldar YC, Needell D, Randall P. Compressed sensing with coherent and redundant dictionaries Applied and Computational Harmonic Analysis. 31: 59-73. DOI: 10.1016/J.Acha.2010.10.002 |
0.407 |
|
2011 |
Eldar YC, Needell D. Acceleration of randomized Kaczmarz method via the Johnson-Lindenstrauss Lemma Numerical Algorithms. 58: 163-177. DOI: 10.1007/S11075-011-9451-Z |
0.419 |
|
2010 |
Needell D, Vershynin R. Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit Ieee Journal On Selected Topics in Signal Processing. 4: 310-316. DOI: 10.1109/Jstsp.2010.2042412 |
0.395 |
|
2010 |
Herman MA, Needell D. Mixed operators in compressed sensing 2010 44th Annual Conference On Information Sciences and Systems, Ciss 2010. DOI: 10.1109/CISS.2010.5464909 |
0.435 |
|
2010 |
Needell D, Tropp JA. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples Communications of the Acm. 53: 93-100. DOI: 10.1016/J.Acha.2008.07.002 |
0.404 |
|
2010 |
Needell D. Randomized Kaczmarz solver for noisy linear systems Bit Numerical Mathematics. 50: 395-403. DOI: 10.1007/S10543-010-0265-5 |
0.404 |
|
2009 |
Needell D. Noisy signal recovery via iterative reweighted l1-minimization Conference Record - Asilomar Conference On Signals, Systems and Computers. 113-117. DOI: 10.1109/ACSSC.2009.5470154 |
0.304 |
|
2009 |
Needell D, Vershynin R. Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit Foundations of Computational Mathematics. 9: 317-334. DOI: 10.1007/S10208-008-9031-3 |
0.466 |
|
2008 |
Needell D, Vershynin R. Greedy signal recovery and uncertainty principles Proceedings of Spie - the International Society For Optical Engineering. 6814. DOI: 10.1117/12.776996 |
0.464 |
|
Show low-probability matches. |