Utvidet returrett til 31. januar 2025

Bøker av Harkeerat Kaur

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  • - 8th International Conference, Cvip 2023, Jammu, India, November 3-5, 2023, Revised Selected Papers, Part III
    av Harkeerat Kaur
    1 167,-

    The three-volume set CCIS 2009, 2010 and 2011 constitutes the refereed post-conference proceedings of the 8th International Conference on Computer Vision and Image Processing, CVIP 2023, held in Jammu, India, during November 3-5, 2023. The 140 revised full papers presented in these proceedings were carefully reviewed and selected from 461 submissions. The papers focus on various important and emerging topics in image processing, computer vision applications, deep learning, and machine learning techniques in the domain.

  • - 8th International Conference, Cvip 2023, Jammu, India, November 3-5, 2023, Revised Selected Papers, Part I
    av Harkeerat Kaur
    1 130,-

    The three-volume set CCIS 2009, 2010 and 2011 constitutes the refereed post-conference proceedings of the 8th International Conference on Computer Vision and Image Processing, CVIP 2023, held in Jammu, India, during November 3-5, 2023. The 140 revised full papers presented in these proceedings were carefully reviewed and selected from 461 submissions. The papers focus on various important and emerging topics in image processing, computer vision applications, deep learning, and machine learning techniques in the domain.

  • - 8th International Conference, Cvip 2023, Jammu, India, November 3-5, 2023, Revised Selected Papers, Part II
    av Harkeerat Kaur
    1 263,-

    The three-volume set CCIS 2009, 2010 and 2011 constitutes the refereed post-conference proceedings of the 8th International Conference on Computer Vision and Image Processing, CVIP 2023, held in Jammu, India, during November 3-5, 2023. The 140 revised full papers presented in these proceedings were carefully reviewed and selected from 461 submissions. The papers focus on various important and emerging topics in image processing, computer vision applications, deep learning, and machine learning techniques in the domain.

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