| Adaptive finite element methods with convergence rates P Binev, W Dahmen, R DeVore Numerische Mathematik 97, 219-268, 2004 | 701 | 2004 |
| Convergence rates for greedy algorithms in reduced basis methods P Binev, A Cohen, W Dahmen, R DeVore, G Petrova, P Wojtaszczyk SIAM journal on mathematical analysis 43 (3), 1457-1472, 2011 | 523 | 2011 |
| Picometre-precision analysis of scanning transmission electron microscopy images of platinum nanocatalysts AB Yankovich, B Berkels, W Dahmen, P Binev, SI Sanchez, SA Bradley, ... Nature communications 5 (1), 4155, 2014 | 322 | 2014 |
| Universal algorithms for learning theory part i: Piecewise constant functions. P Binev, A Cohen, W Dahmen, R DeVore, V Temlyakov, P Bartlett Journal of Machine Learning Research 6 (9), 2005 | 129 | 2005 |
| Fast computation in adaptive tree approximation P Binev, R DeVore Numerische Mathematik 97, 193-217, 2004 | 123 | 2004 |
| Approximation classes for adaptive methods P Binev, W Dahmen, R DeVore, P Petrushev Serdica Math. J 28 (4), 391-416, 2002 | 107 | 2002 |
| Data assimilation in reduced modeling P Binev, A Cohen, W Dahmen, R DeVore, G Petrova, P Wojtaszczyk SIAM/ASA Journal on Uncertainty Quantification 5 (1), 1-29, 2017 | 100 | 2017 |
| Compressed sensing and electron microscopy P Binev, W Dahmen, R DeVore, P Lamby, D Savu, R Sharpley Modeling nanoscale imaging in electron microscopy, 73-126, 2012 | 100 | 2012 |
| Optimized imaging using non-rigid registration B Berkels, P Binev, DA Blom, W Dahmen, RC Sharpley, T Vogt Ultramicroscopy 138, 46-56, 2014 | 99 | 2014 |
| Fast high-dimensional approximation with sparse occupancy trees P Binev, W Dahmen, P Lamby Journal of computational and applied mathematics 235 (8), 2063-2076, 2011 | 67 | 2011 |
| Vision-based control of micro-air-vehicles: Progress and problems in estimation A Kurdila, M Nechyba, R Prazenica, W Dahmen, P Binev, R DeVore, ... 2004 43rd IEEE Conference on Decision and Control (CDC)(IEEE Cat. No …, 2004 | 65 | 2004 |
| High-quality image formation by nonlocal means applied to high-angle annular dark-field scanning transmission electron microscopy (HAADF–STEM) P Binev, F Blanco-Silva, D Blom, W Dahmen, P Lamby, R Sharpley, ... Modeling Nanoscale Imaging in Electron Microscopy, 127-145, 2012 | 57 | 2012 |
| Poisson noise removal from high-resolution STEM images based on periodic block matching N Mevenkamp, P Binev, W Dahmen, PM Voyles, AB Yankovich, B Berkels Advanced Structural and Chemical Imaging 1, 1-19, 2015 | 54 | 2015 |
| Modeling nanoscale imaging in electron microscopy T Vogt, W Dahmen, P Binev Springer Science & Business Media, 2012 | 52 | 2012 |
| Universal algorithms for learning theory. part ii: Piecewise polynomial functions P Binev, A Cohen, W Dahmen, R DeVore Constructive approximation 26, 127-152, 2007 | 50 | 2007 |
| Greedy algorithms for optimal measurements selection in state estimation using reduced models P Binev, A Cohen, O Mula, J Nichols SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1101-1126, 2018 | 49 | 2018 |
| Physically motivated global alignment method for electron tomography T Sanders, M Prange, C Akatay, P Binev Advanced Structural and Chemical Imaging 1, 1-11, 2015 | 35 | 2015 |
| Tree approximation of the long wave radiation parameterization in the NCAR CAM global climate model A Belochitski, P Binev, R DeVore, M Fox-Rabinovitz, V Krasnopolsky, ... Journal of Computational and Applied Mathematics 236 (4), 447-460, 2011 | 33 | 2011 |
| Tree approximation for hp-adaptivity P Binev SIAM Journal on Numerical Analysis 56 (6), 3346-3357, 2018 | 32 | 2018 |
| Classification algorithms using adaptive partitioning P Binev, A Cohen, W Dahmen, R DeVore | 31 | 2014 |
Wolfgang DahmenProfessor for Mathematics, University of South Carolina在 math.sc.edu 的电子邮件经过验证
