Peter G. Binev

 

 

 

E-Mail: binev@math.sc.edu

Office Hours: MWF 10:45 - 11:45   or by appointment

Phone: (803) 576-6269,  576-6304

Fax: (803) 777-6527

Office: LeConte 425       Lab: Sumwalt 206H

Mail:

   Peter Binev

   Department of Mathematics

   University of South Carolina

   Columbia, SC 29208  

 


Recent Publications

    T. Sanders, M. Prange, C. Akatay, P. Binev
    Physically motivated global alignment method for electron tomography
    Advanced Structural and Chemical Imaging 1:4 (2015), Springer

    N. Mevenkamp, P. Binev, W. Dahmen, P.M. Voyles, A.B. Yankovich, B. Berkels
    Poisson noise removal from high-resolution STEM images based on periodic block matching
    Advanced Structural and Chemical Imaging 1:3 (2015), Springer

    A.B. Yankovich, B. Berkels, W. Dahmen, P. Binev, P.M. Voyles
    High-precision scanning transmission electron microscopy at coarse pixel sampling for reduced electron dose
    Advanced Structural and Chemical Imaging 1:2 (2015), Springer

    P. Binev, A. Cohen, W. Dahmen, and R. DeVore
    Classification algorithms using adaptive partitioning
    Annals of Statistics 42 (2014), 2141-2163 AoS

    A.B. Yankovich, B. Berkels, W. Dahmen, P. Binev, S.I. Sanchez, S.A. Bradley, Ao Li, I. Szlufarska, and P.M. Voyles
    Picometre-precision analysis of scanning transmission electron microscopy images of platinum nanocatalysts
    Nature Communications 5 (2014), Article number: 4155, Nature

    T. Sanders, J. D. Roehling, K. J. Batenburg, B. C. Gates, A. Katz, P. Binev, I. Arslan
    Advanced 3-D Reconstruction Algorithms for Electron Tomography
    Microscopy and Microanalysis 20, Suppl. 3 (2014), 794-795, CambridgeJournals

    B. Berkels, P. Binev, D.A. Blom, W. Dahmen, R.C. Sharpley, T. Vogt
    Optimized imaging using non-rigid registration
    Ultramicroscopy 138 (2014), 46-56 ScienceDirect

    A.B. Yankovich, B. Berkels, W. Dahmen, R. Sharpley, P. Binev and P. Voyles
    Measuring Surface Atom Bond Length Contraction in Au and Pt Nanoparticles Using High-Precision STEM Imaging
    Microscopy and Microanalysis 19, Suppl. 2 (2013), 1688-1689, CambridgeJournals

    B. Berkels, R. Sharpley, P. Binev, A. Yankovich, F. Shi, P. Voyles and W. Dahmen
    High Precision STEM Imaging by Non-Rigid Alignment and Averaging of a Series of Short Exposures
    Microscopy and Microanalysis 18, Suppl. 2 (2012), 300-301, CambridgeJournals

    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 high-dimensional 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

 

 


Teaching