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Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB - Bangjun Lei
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[ED: Buch], [PU: WILEY], Neuware - A practical introduction to intelligent computer vision theory, design, implementation, and technologyThe past decade has witnessed epic growth in image… Mehr…

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Classification, Parameter Estimation and State Estimation / An Engineering Approach Using MATLAB / Bangjun Lei (u. a.) / Buch / 480 S. / Englisch / 2017 / Wiley / EAN 9781119152439 - Lei, Bangjun
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Classification, Parameter Estimation and State Estimation / An Engineering Approach Using MATLAB / Bangjun Lei (u. a.) / Buch / 480 S. / Englisch / 2017 / Wiley / EAN 9781119152439 - gebunden oder broschiert

2017, ISBN: 9781119152439

[ED: Gebunden], [PU: Wiley], A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic growth in image proc… Mehr…

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Classification, Parameter Estimation and State Estimation - Bangjun Lei Guangzhu Xu Ming Feng Yaobin Zou Ferdinand van der Heijden Dick de Ridder David M. J. Tax
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Classification, Parameter Estimation and State Estimation - gebunden oder broschiert

2017

ISBN: 9781119152439

[ED: Gebunden], [PU: John Wiley & Sons], Professor Bangjun Lei, Dr. Guangzhu Xu, and Dr. Ming Feng are with The Institute of Intelligent Vision and Image Information, China Three Gorges U… Mehr…

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Classification, Parameter Estimation and State Estimation - Bangjun Lei; Guangzhu Xu; Ming Feng; Yaobin Zou; Ferdinand van der Heijden
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Bangjun Lei; Guangzhu Xu; Ming Feng; Yaobin Zou; Ferdinand van der Heijden:
Classification, Parameter Estimation and State Estimation - gebunden oder broschiert

2017, ISBN: 9781119152439

An Engineering Approach Using MATLAB, Buch, Hardcover, 2nd edition, [PU: John Wiley & Sons Inc], John Wiley & Sons Inc, 2017

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Bibliographische Daten des bestpassenden Buches

Details zum Buch
Classification, Parameter Estimation and State Estimation

A practical introduction to intelligent computer vision theory, design, implementation, and technology

The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods—especially among adaboost varieties and particle filtering methods—have made machine learning in intelligent computer vision more accurate and reliable than ever before. The need for expert coverage of the state of the art in this burgeoning field has never been greater, and this book satisfies that need. Fully updated and extensively revised, this 2nd Edition of the popular guide provides designers, data analysts, researchers and advanced post-graduates with a fundamental yet wholly practical introduction to intelligent computer vision. The authors walk you through the basics of computer vision, past and present, and they explore the more subtle intricacies of intelligent computer vision, with an emphasis on intelligent measurement systems. Using many timely, real-world examples, they explain and vividly demonstrate the latest developments in image and video processing techniques and technologies for machine learning in computer vision systems, including: 

PRTools5 software for MATLAB—especially the latest representation and generalization software toolbox for PRTools5 Machine learning applications for computer vision, with detailed discussions of contemporary state estimation techniques vs older content of particle filter methods The latest techniques for classification and supervised learning, with an emphasis on Neural Network, Genetic State Estimation and other particle filter and AI state estimation methods All new coverage of the Adaboost and its implementation in PRTools5.

A valuable working resource for professionals and an excellent introduction for advanced-level students, this 2nd Edition features a wealth of illustrative examples, ranging from basic techniques to advanced intelligent computer vision system implementations. Additional examples and tutorials, as well as a question and solution forum, can be found on a companion w

Detailangaben zum Buch - Classification, Parameter Estimation and State Estimation


EAN (ISBN-13): 9781119152439
ISBN (ISBN-10): 1119152437
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2017
Herausgeber: John Wiley & Sons Inc

Buch in der Datenbank seit 2017-05-09T06:32:18+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-05-25T15:31:39+02:00 (Berlin)
ISBN/EAN: 1119152437

ISBN - alternative Schreibweisen:
1-119-15243-7, 978-1-119-15243-9
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: ming, feng, van dick, guang, lei, ridder, university twente, van der heijden, tax


Daten vom Verlag:

Autor/in: Bangjun Lei; Guangzhu Xu; Ming Feng; Yaobin Zou; Ferdinand van der Heijden; Dick de Ridder; David M. J. Tax
Titel: Classification, Parameter Estimation and State Estimation - An Engineering Approach Using MATLAB
Verlag: Wiley; John Wiley & Sons
480 Seiten
Erscheinungsjahr: 2017-04-27
Gewicht: 0,676 kg
Sprache: Englisch
112,00 € (DE)
Not available (reason unspecified)
147mm x 221mm x 29mm

BB; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik, Nachrichtentechnik; Electrical & Electronics Engineering; Elektrotechnik u. Elektronik; Mustererkennung; Pattern Analysis; Signal Processing; Signalverarbeitung; Mustererkennung; Signalverarbeitung; Digitale Signalverarbeitung (DSP)

A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods-especially among adaboost varieties and particle filtering methods-have made machine learning in intelligent computer vision more accurate and reliable than ever before. The need for expert coverage of the state of the art in this burgeoning field has never been greater, and Classification, Parameter Estimation and State Estimation satisfies that need. Fully updated and extensively revised, this 2nd Edition of the popular guide provides designers, data analysts, researchers and advanced post-graduates with a fundamental yet wholly practical introduction to intelligent computer vision. The authors walk the reader through the basics of computer vision, past and present, and explore the more subtle intricacies of intelligent computer vision, with an emphasis on intelligent measurement systems. Using many timely, real-world examples, the authors explain and vividly demonstrate the latest developments in image and video processing techniques and technologies for machine learning in computer vision systems, including: * PRTools5 software for MATLAB(r)-especially the latest representation and generalization software toolbox for PRTools5 * Machine learning applications for computer vision, with detailed discussions of contemporary state estimation techniques vs older content of particle filter methods * The latest techniques for classification and supervised learning, with an emphasis on Neural Network, Genetic State Estimation and other particle filter and AI state estimation methods * All new coverage of the Adaboost and its implementation in PRTools5 A valuable working resource for professionals and an excellent introduction for advanced-level students, this 2nd Edition features a wealth of illustrative examples, ranging from basic techniques to advanced intelligent computer vision system implementations. Additional practical examples can be found on a companion website.

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