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Condition: New. pp. 314 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Language: Chinese
Published by Zds Online Publishing, 2024
ISBN 10: 1763778401 ISBN 13: 9781763778405
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Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030179915 ISBN 13: 9783030179915
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Published by Springer International Publishing, Springer International Publishing, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique and useful textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments.Topics and features:Describes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transformsDevelopsmanynew exercises(most with MATLAB code and instructions)Includes review summaries at the end of each chapterAnalyses state-of-the-art models, algorithms, and procedures for image miningIntegratesnewsectionson pre-processing, discrete cosine transform, and statistical inference and testingDemonstrates how features like color, texture, and shape can be mined or extracted for image representationApplies powerful classification approaches: Bayesian classification, support vector machines, neural networks, and decision treesImplements imaging techniques for indexing, ranking, and presentation, as well as database visualizationThis easy-to-follow, award-winning book illuminates how concepts from fundamental and advanced mathematics can be applied to solve a broad range of image data mining problems encountered by students and researchers of computer science. Students of mathematics and other scientific disciplines will also benefit from the applications and solutions described in the text, together with the hands-on exercises that enable the reader to gain first-hand experience of computing.
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Taschenbuch. Condition: Neu. Fundamentals of Image Data Mining | Analysis, Features, Classification and Retrieval | Dengsheng Zhang | Taschenbuch | Texts in Computer Science | xxxiii | Englisch | 2022 | Springer | EAN 9783030692537 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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