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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Fundamentals of Image Data Mining. Analysis, Features, Classification and Retrieval. By Dengsheng Zhang.
Edité par Cham, Springer International Publishing : Imprint: Springer., 2021
ISBN 10 : 3030692507 ISBN 13 : 9783030692506
Langue: anglais
Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
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Ajouter au panier2nd 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
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Fundamentals of Image Data Mining
Edité par Springer Nature Switzerland AG, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
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Fundamentals of Image Data Mining
Edité par Springer Nature Switzerland AG, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
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Ajouter au panierBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
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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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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
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Fundamentals of Image Data Mining
Edité par Springer Nature Switzerland AG, CH, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Ajouter au panierPaperback. Etat : 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 (Texts in Computer Science)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Fundamentals of Image Data Mining (Hardcover)
Edité par Springer Nature Switzerland AG, Cham, 2021
ISBN 10 : 3030692507 ISBN 13 : 9783030692506
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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Ajouter au panierHardcover. Etat : new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval (Texts in Computer Science)
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New. pp. 314.
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval
Edité par Springer-Nature New York Inc, 2020
ISBN 10 : 3030179915 ISBN 13 : 9783030179915
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. 348 pages. 9.25x6.10x0.82 inches. In Stock.
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Fundamentals of Image Data Mining
Edité par Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
EUR 56,43
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Ajouter au panierEtat : 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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Fundamentals of Image Data Mining
Edité par Springer International Publishing, Springer International Publishing Jun 2022, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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.
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Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval
Edité par Springer International Publishing, Springer International Publishing, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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.
