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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
Association Member: GIAQ ILAB VDA
Seller rating 5 out of 5 stars
£ 15.22
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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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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Published by Springer International Publishing, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
£ 19.05
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Fundamentals of Image Data Mining
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 39.69
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Fundamentals of Image Data Mining
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
£ 47.41
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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
Paperback. 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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£ 49.39
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Add to basketPaperback or Softback. Condition: New. Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval. Book.
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Published by Springer International Publishing, Springer International Publishing, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
£ 47.89
Convert currency£ 12.16 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. 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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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 61.22
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£ 53.21
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Published by Springer International Publishing, 2020
ISBN 10: 3030179915 ISBN 13: 9783030179915
Language: English
£ 57.48
Convert currency£ 12.16 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This reader-friendly 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 the essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms; reviews a varied range of state-of-the-art models, algorithms, and procedures for image mining; emphasizes how to deal with real image data for practical image mining; highlights how such features as color, texture, and shape can be mined or extracted from images for image representation; presents four powerful approaches for classifying image data, namely, Bayesian classification, Support Vector Machines, Neural Networks, and Decision Trees; discusses techniques for indexing, image ranking, and image presentation, along with image database visualization methods; provides self-test exercises with instructions or Matlab code, as well as review summaries at the end of each chapter.This easy-to-follow work 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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£ 64.02
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Fundamentals of Image Data Mining
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
£ 50.52
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Add to basketCondition: New. 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 i.
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£ 62.74
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Fundamentals of Image Data Mining
Published by Springer International Publishing, Springer International Publishing Jun 2022, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
£ 47.89
Convert currency£ 30.42 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware -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 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 400 pp. Englisch.
