Editore: Cham, Springer International Publishing : Imprint: Springer., 2021
ISBN 10: 3030692507 ISBN 13: 9783030692506
Lingua: Inglese
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 17,00
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Aggiungi al carrello2nd 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.
Editore: Springer International Publishing, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Da: Books Puddle, New York, NY, U.S.A.
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Da: Majestic Books, Hounslow, Regno Unito
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Editore: Springer Nature Switzerland AG, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 53,75
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 43,98
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Da: Books Puddle, New York, NY, U.S.A.
EUR 46,55
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Aggiungi al carrelloCondizione: New. pp. 314.
Editore: Springer Nature Switzerland AG, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 48,97
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship toPOboxaddress.
Da: Majestic Books, Hounslow, Regno Unito
EUR 46,85
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Aggiungi al carrelloCondizione: New. pp. 314.
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 61,52
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 52,86
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: California Books, Miami, FL, U.S.A.
EUR 59,41
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Editore: Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 65,50
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Aggiungi al carrelloPaperback. Condizione: 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.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 55,65
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval 1.23. Book.
Editore: Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 57,84
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Aggiungi al carrelloCondizione: 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.
Editore: Springer International Publishing, Springer International Publishing, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer International Publishing, Springer International Publishing Jun 2022, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 53,52
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Chiron Media, Wallingford, Regno Unito
EUR 49,42
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Aggiungi al carrelloPaperback. Condizione: New.
Editore: Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030692531 ISBN 13: 9783030692537
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 71,10
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Aggiungi al carrelloPaperback. Condizione: 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 55,75
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Da: Best Price, Torrance, CA, U.S.A.
EUR 48,04
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Da: Books Puddle, New York, NY, U.S.A.
EUR 68,06
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Da: Majestic Books, Hounslow, Regno Unito
EUR 67,63
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Da: Chiron Media, Wallingford, Regno Unito
EUR 56,75
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