Edité par Cham, Springer International Publishing : Imprint: Springer., 2021
ISBN 10 : 3030692507 ISBN 13 : 9783030692506
Langue: anglais
Vendeur : Universitätsbuchhandlung Herta Hold GmbH, Berlin, Allemagne
EUR 17
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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.
Edité par Springer International Publishing, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
Vendeur : Buchpark, Trebbin, Allemagne
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Seiten: 400 | Sprache: Englisch | Produktart: Bücher.
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Ajouter au panierEtat : New. pp. 314.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 46,27
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Ajouter au panierEtat : New. pp. 400.
Edité par Springer Nature Switzerland AG, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 54,24
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par Springer Nature Switzerland AG, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 49,91
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 45,45
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Ajouter au panierEtat : New. pp. 400.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 46,39
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Ajouter au panierEtat : New. pp. 314.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 48,11
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Ajouter au panierEtat : New. pp. 400.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. pp. 314.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 55,68
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 45,10
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Ajouter au panierEtat : New.
Edité par Springer International Publishing, Springer International Publishing, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,49
Autre deviseQuantité disponible : 2 disponible(s)
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.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 48,51
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Ajouter au panierEtat : New.
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
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Ajouter au panierPaperback or Softback. Etat : New. Fundamentals of Image Data Mining: Analysis, Features, Classification and Retrieval 1.23. Book.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 59,95
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Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 57,84
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Edité par Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 57,84
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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.
Edité par Springer International Publishing, Springer International Publishing Jun 2022, 2022
ISBN 10 : 3030692531 ISBN 13 : 9783030692537
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 53,49
Autre deviseQuantité disponible : 2 disponible(s)
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.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 54,12
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 56,83
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Springer International Publishing, 2020
ISBN 10 : 3030179915 ISBN 13 : 9783030179915
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 64,19
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 73,89
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Ajouter au panierEtat : New. In.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 69,38
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Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 67,95
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Ajouter au panierPF. Etat : New.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 68,24
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Ajouter au panierEtat : New.
Edité par Springer International Publishing, Springer International Publishing Aug 2020, 2020
ISBN 10 : 3030179915 ISBN 13 : 9783030179915
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 64,19
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 72,78
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Edité par Springer International Publishing, Springer International Publishing, 2021
ISBN 10 : 3030692507 ISBN 13 : 9783030692506
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 74,89
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierBuch. 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.