Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 (ePub)
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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.
- Covers contemporary developments relating to the analysis and learning of images, shapes and forms
- Presents mathematical models and quick computational techniques relating to the topic
- Provides broad coverage, with sample chapters presenting content on Alternating Diffusion and Generating Structured TV-based Priors and Associated Primal-dual Methods
- 2019, 706 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0444641416
- ISBN-13: 9780444641410
- Erscheinungsdatum: 16.10.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 71 MB
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