Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 706
• Erscheinungstermin: 16. Oktober 2019
• Englisch
• ISBN-13: 9780444641410
• Artikelnr.: 61681653