Fundamentals Image Data Mining Analysis by Zhang (30 results)
Language: English
Published by Springer, 2022
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Published by Springer, 2022
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Language: English
Published by Springer, 2020
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Condition: New. pp. 314 1st ed. 2019 edition NO-PA16APR2015-KAP.
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Published by Springer, 2021
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Published by Springer, 2022
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Published by Springer, 2022
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Published by Springer, 2020
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Published by Springer 2020-08, 2020
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Published by Springer, 2020
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Published by SPRINGER, 2021
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Paperback. Condition: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will b…e requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Language: English
Published by Springer, 2021
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Language: English
Published by Springer International Publishing, Springer International Publishing, 2022
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Taschenbuch. 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 insi…ghts 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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Published by Springer, 2022
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Taschenbuch. Condition: Neu. Fundamentals of Image Data Mining | Analysis, Features, Classification and Retrieval | Dengsheng Zhang | Taschenbuch | Texts in Computer Science | xxxiii | Englisch | 2022 | Springer | EAN 9783030692537 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, ju…ergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
More imagesLanguage: English
Published by Springer, 2020
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Taschenbuch. Condition: Neu. Fundamentals of Image Data Mining | Analysis, Features, Classification and Retrieval | Dengsheng Zhang | Taschenbuch | xxxi | Englisch | 2020 | Springer | EAN 9783030179915 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer…[dot]com | Anbieter: preigu.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2021
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Buch. 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 in…to 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.
Language: English
Published by Springer, 2020
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer-Verlag GmbH, 2019
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 314 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval Dengsheng Zhang
Language: English
Published by Springer, 2019
- Hardcover
Seller: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermanyBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Condition: gut. 2019. Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval In deutscher Sprache. pages.
Language: English
Published by Springer, 2021
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Language: English
Published by Springer, 2021
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Language: English
Published by Palgrave Macmillan, 2020
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt 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.
Language: English
Published by Springer, 2021
- Hardcover
- Print on Demand
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Buch. Condition: Neu. Fundamentals of Image Data Mining | Analysis, Features, Classification and Retrieval | Dengsheng Zhang | Buch | Texts in Computer Science | xxxiii | Englisch | 2021 | Springer | EAN 9783030692506 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hart…mann[at]springer[dot]com | Anbieter: preigu Print on Demand.
