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Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2

  • 1st Edition, Volume 20 - October 15, 2019
  • Editors: Ron Kimmel, Xue-Cheng Tai
  • Language: English
  • Hardback ISBN:
    9 7 8 - 0 - 4 4 4 - 6 4 1 4 0 - 3
  • eBook ISBN:
    9 7 8 - 0 - 4 4 4 - 6 4 1 4 1 - 0

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes an… Read more

Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2

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Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2, Volume 20, surveys the contemporary developments relating to the analysis and learning of images, shapes and forms, covering mathematical models and quick computational techniques. Chapter cover Alternating Diffusion: A Geometric Approach for Sensor Fusion, Generating Structured TV-based Priors and Associated Primal-dual Methods, Graph-based Optimization Approaches for Machine Learning, Uncertainty Quantification and Networks, Extrinsic Shape Analysis from Boundary Representations, Efficient Numerical Methods for Gradient Flows and Phase-field Models, Recent Advances in Denoising of Manifold-Valued Images, Optimal Registration of Images, Surfaces and Shapes, and much more.