Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm spread » algorithm pre (Expand Search), algorithms real (Expand Search), algorithms sorted (Expand Search)
python function » protein function (Expand Search)
algorithm etc » algorithm _ (Expand Search), algorithm b (Expand Search), algorithm a (Expand Search)
etc function » fc function (Expand Search), spc function (Expand Search), npc function (Expand Search)
Showing 61 - 80 results of 665 for search '(((( algorithm python function ) OR ( algorithm etc function ))) OR ( algorithm spread function ))*', query time: 0.45s Refine Results
  1. 61
    Examples of the blur feature in motion blur.

    Examples of the blur feature in motion blur. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  2. 62
    Results of comparisons of test atmospheric turbulence-blurred images.

    Results of comparisons of test atmospheric turbulence-blurred images. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  3. 63
    Motion-blurred photograph in real-life application.

    Motion-blurred photograph in real-life application. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  4. 64
    Atmospheric turbulence blur with <i>σ</i> = 3.2 for the “plane.bmp” image.

    Atmospheric turbulence blur with <i>σ</i> = 3.2 for the “plane.bmp” image. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  5. 65
    Defocus blur with <i>r</i> = 4 for the “monarch.bmp” image.

    Defocus blur with <i>r</i> = 4 for the “monarch.bmp” image. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  6. 66
    IQA data for the comparison results of Figs 11, 12, 14 and 16.

    IQA data for the comparison results of Figs 11, 12, 14 and 16. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  7. 67
    Efficient learning-based blur removal method based on sparse optimization for image restoration - Fig 9

    Efficient learning-based blur removal method based on sparse optimization for image restoration - Fig 9 by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  8. 68
    Results of comparisons with Fig 19.

    Results of comparisons with Fig 19. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  9. 69
    Results of comparisons of test defocus-blurred images.

    Results of comparisons of test defocus-blurred images. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  10. 70
    Motion blur with <i>L</i> = 16 and <i>Φ</i> = 45° for the “lighthouse2.bmp” image.

    Motion blur with <i>L</i> = 16 and <i>Φ</i> = 45° for the “lighthouse2.bmp” image. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  11. 71
    Examples of the blur feature in defocus blur.

    Examples of the blur feature in defocus blur. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  12. 72
    Image blurring in imaging system.

    Image blurring in imaging system. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  13. 73
    Framework of the proposed method.

    Framework of the proposed method. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  14. 74
    Examples of the PSF (first row) and its frequency domains (second row).

    Examples of the PSF (first row) and its frequency domains (second row). by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  15. 75
    Test images used and their blur parameters.

    Test images used and their blur parameters. by Haoyuan Yang (8630391)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  16. 76
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
    Save to List
    Saved in:
  17. 77
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  18. 78
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  19. 79
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  20. 80
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:

Search Tools: