vix.ing · top · new · best · stats · spec

William Leeb

  1. Multireference Alignment is Easier with an Aperiodic Translation\n Distribution
    2017/10/08 by Emmanuel Abbé, Abbe, Emmanuel, Tamir Bendory +9 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Fractal and DNA sequence analysis #Information Theory (cs.IT) #Statistical Methods and Inference
  2. Toward single particle reconstruction without particle picking: Breaking the detection limit
    2018/09/29 by Tamir Bendory, Nicolas Boumal, Bendory, Tamir +7 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #Advanced X-ray Imaging Techniques #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #Information Theory (cs.IT)
  3. On the Numerical Solution of Fourth-Order Linear Two-Point Boundary\n Value Problems
    2017/11/14 by William Leeb, Vladimir Rokhlin, Leeb, William +1 · 1 citation
    Mathematics · Engineering · Physics and Astronomy · #Numerical methods for differential equations #Electromagnetic Simulation and Numerical Methods #Electromagnetic Scattering and Analysis
  4. Rapid evaluation of the spectral signal detection threshold and\n Stieltjes transform
    2019/04/26 by William Leeb, Leeb, William · 1 citation
    Chemistry · Computer Science · Mathematics · #Blind Source Separation Techniques #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Spectroscopy and Chemometric Analyses #Statistical and numerical algorithms #Statistics Theory (math.ST)
  5. Optimal singular value shrinkage for operator norm loss
    2020/05/24 by William Leeb, Leeb, William · 1 citation
    Engineering · Mathematics · #FOS: Mathematics #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Tensor decomposition and applications