Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 |
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Volume Editor:
| Kimmel, Ron Tai, Xue-Cheng |
Series title: | Handbook of Numerical Analysis Ser. |
ISBN: | 978-0-444-64140-3 |
Publication Date: | Oct 2019 |
Publisher: | Elsevier Science & Technology
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Imprint: | North Holland |
Book Format: | Hardback |
List Price: | AUD $353.95 |
Book Description:
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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...
More Description
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.