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Иш: An Investigation of Stochastic Variance Reduction Algorithms for 3D Penalised PET Image Reconstruction

  1. Performance improvement and validation of a new MAP reconstruction algorithm

    Yu‐Jung Tsai, Alexandre Bousse, C.W. Stearns +4

    Мақола20162 иқтибос
    ABI
  2. SARAH: A Novel Method for Machine Learning Problems Using Stochastic\n Recursive Gradient

    Lam M. Nguyen, Jie Liu, Katya Scheinberg +1

    Препринт20172 иқтибос
    ABI
  3. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI
  4. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI
  5. A Stochastic Quasi-Newton Method for Large-Scale Optimization

    Richard H. Byrd, Samantha Hansen, Jorge Nocedal +1

    Мақола20162 иқтибос
    ABI
  6. On Biased Stochastic Gradient Estimation

    Derek Driggs, Jingwei Liang, Carola‐Bibiane Schönlieb

    Препринт20192 иқтибос
    ABI
  7. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI
  8. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI
  9. Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions

    Željko Kereta, Robert Twyman, Simon Arridge +2

    Мақола20212 иқтибос
    ABI
  10. Updating Quasi-Newton Matrices with Limited Storage

    Jorge Nocedal

    Мақола19802 иқтибос
    ABI
  11. A Demonstration of STIR-GATE-Connection

    Robert Twyman, Ludovica Brusaferri, Élise Émond +5

    Мақола20212 иқтибос
    ABI
  12. Numerical Optimization

    Jorge Nocedal, Stephen J. Wright

    Китоб20062 иқтибос
    ABI
  13. Accelerated Convergent Motion Compensated Image Reconstruction

    Claire Delplancke, Kris Thielemans, Matthias J. Ehrhardt

    Препринт20242 иқтибос
    ABI
  14. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  15. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI