£130.35

North Holland Processing, Analyzing and Learning of Images Vol 19

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Description

Processing, Analyzing and Learning of Images, Shapes, and Forms: Volume 19, Part One offers a deep survey of current developments in the analysis and learning of images, shapes, and forms. This volume from the Handbook of Numerical Analysis series provides essential knowledge for researchers and students working in advanced computational fields. The text covers a wide range of mathematical models and fast computational techniques. It is designed to help readers understand complex processes through structured academic insight. By exploring various methodologies, this book serves as a foundational resource for those studying how digital information is interpreted and processed. This volume includes specialized chapters on topics such as Alternating diffusion through geometric approaches for sensor fusion, Shape Correspondence and Functional Maps, and Geometric models for perception-based image processing. It also addresses Decomposition schemes for nonconvex composite minimization, covering both theory and applications, as well as Low rank matrix research. This collection is a vital addition to any academic library focused on numerical analysis and image processing.

Key Features

Comprehensive survey of contemporary developments in image, shape, and form analysis and learning.

Detailed coverage of mathematical models and fast computational techniques for high-level research.

Includes specialized chapters on Alternating diffusion and geometric approaches for sensor fusion.

Provides technical insights into Shape Correspondence and Functional Maps for advanced study.

Explores geometric models used for perception-based image processing applications.

Covers theory and applications of Decomposition schemes for nonconvex composite minimization.

Discusses Low rank matrix concepts within the context of numerical analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
12 November 2018
Listed Since
11 April 2018

Barcode

No barcode data available

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