Peter G. Binev

Recent Publications

  P. Binev, A. Cohen, W. Dahmen, and R. DeVore
     Classification Algorithms Using Adaptive Partitioning
     IMI Preprint Series   2012:07, preprint

  P. Binev, F. Blanco-Silva, D. Blom, W. Dahmen, P. Lamby, R. Sharpley, and T. Vogt
     Super-resolution image reconstruction by nonlocal means applied to high-angle annular darkfield scanning transmission electron microscopy (HAADF-STEM)
     in   Modeling Nanoscale Imaging in Electron Microscopy (T. Vogt, W. Dahmen, P. Binev, eds.), Springer (2012), 127-145, Springer

  P. Binev, W. Dahmen, R. DeVore, P. Lamby, D. Savu, and R. Sharpley
     Compressed Sensing and Electron Microscopy
     in   Modeling Nanoscale Imaging in Electron Microscopy (T. Vogt, W. Dahmen, P. Binev, eds.), Springer (2012), 73-126, Springer

  A. Belochitski, P. Binev, R. DeVore, M. Fox-Rabinovitz, V. Krasnopolski, and P. Lamby
     Tree Approximation of the Long Wave Radiation Parameterization in the NCAR CAM Global Climate Model
     Journal of Computational and Applied Mathematics  236 (2011), 447-460, JCAM

  P. Binev, A. Cohen, W. Dahmen, R. DeVore, G. Petrova, P. Wojtaszczyk
     Convergence Rates for Greedy Algorithms in Reduced Basis Methods
     SIAM J. Math. Anal. 43 (2011), 1457-1472, SIAM

  P. Binev, W. Dahmen, P. Lamby
     Fast Highdimensional Approximation with Sparse Occupancy Trees
     Journal of Computational and Applied Mathematics  235 (2011), 2063-2076, JCAM

  P. Binev
     Nonlocal Means with Application to Electron Microscopy
     Mathematisches Forschungsinstitut Oberwolfach   Report No. 33 (2010), 1961-1964, MFO

  P. Binev, F. Blanco-Silva, D. Blom, W. Dahmen, R. Sharpley, and T. Vogt
     Super-resolution image reconstruction by nonlocal means applied to high-angle annular darkfield scanning transmission electron microscopy (HAADF-STEM)
     IMI Preprint Series   2009:06, preprint

  P. Binev
     High Dimensional Learning via Sparse Occupancy Trees
     Mathematisches Forschungsinstitut Oberwolfach   Report No. 30 (2008), 1675-1678, MFO

  P. Binev
     Adaptive Methods and Near-Best Tree Approximation
     Mathematisches Forschungsinstitut Oberwolfach   Report No. 29 (2007), 1669-1673, MFO

  P. Binev, A. Cohen, W. Dahmen, and R. DeVore
     Universal Piecewise Polynomial Estimators for Machine Learning
     in   Curve and Surface Design: Avignon 2006 (P. Chenin et al., eds.), Nashboro Press (2007), 48-77

  P. Binev, A. Cohen, W. Dahmen, and R. DeVore
     Universal algorithms for learning theory - Part II: piecewise polynomial functions
     Constructive Approximation  26 (2007), 127-152, SpringerLink

  P. Binev, A. Cohen, W. Dahmen, R. DeVore, and V. Temlyakov
     Universal algorithms for learning theory - Part I: piecewise constant functions
     Journal of Machine Learning Research  6 (2005), 1297-1321, JMLR

  P. Binev
     Adaptive Finite Element Methods with Optimal Complexity
     Mathematisches Forschungsinstitut Oberwolfach   Report No. 37 (2005), 2101-2104, MFO

  P. Binev, W. Dahmen, R. DeVore, and N. Dyn
     Adaptive Approximation of Curves
     in  Approximation Theory: A volume dedicated to Borislav Bojanov, (D. K. Dimitrov et all., eds.), Marin Drinov Academic Publishing House, Sofia (2004), 43-57, preprint

  P. Binev and R. DeVore
     Fast Computation in Adaptive Tree Approximation
     Numer. Math.   97 (2004), 193-217, SpringerLink

  P. Binev, W. Dahmen, R. DeVore
     Adaptive Finite Element Methods with Convergence Rates
     Numer. Math.   97 (2004), 219-268, SpringerLink

  P. Binev, W. Dahmen, R. DeVore, P. Petrushev
     Approximation Classes for Adaptive Methods
     Serdica Math. J.  28 (2002), 391-416, preprint