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Fundamentals Image Data Mining by Dengsheng Zhang (47 results)
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Condition: New. pp. 400.
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Fundamentals of Image Data Mining. Analysis, Features, Classification and Retrieval. By Dengsheng Zhang.
Published by Cham, Springer International Publishing : Imprint: Springer., 2021
ISBN 10: 3030692507 ISBN 13: 9783030692506
Language: English
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
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Add to basket2nd ed. 2021. XXXIII, 363 p. Hardcover. 2nd ed. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Texts in Computer Science. Sprache: Englisch.
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Condition: New. pp. 314.
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Fundamentals of Image Data Mining
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
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Paperback or Softback. Condition: New. Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval 1.23. Book.
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Fundamentals of Image Data Mining
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
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Add to basketPaperback. Condition: New.
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Published by Springer International Publishing, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 400 | Sprache: Englisch | Produktart: Bücher.
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Fundamentals of Image Data Mining
Published by Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketPaperback. Condition: New. Second Edition 2021. 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 transformsDevelops many new 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 miningIntegrates new sections on 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 visualization This 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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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
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