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
Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2 [EPUB ebook]
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语言 英语 ● 格式 EPUB ● ISBN 9780444641410 ● 出版者 Elsevier Science ● 发布时间 2019 ● 下载 3 时 ● 货币 EUR ● ID 6978152 ● 复制保护 Adobe DRM
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