Advances in Soft Computing and Machine Learning in Image Processing (Studies in Computational Intelligence, 730)

ISBN 10: 3319637533 ISBN 13: 9783319637532
Verlag: Springer, 2017
Neu Hardcover

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This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.

The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students.  It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

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This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.

The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

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Titel: Advances in Soft Computing and Machine ...
Verlag: Springer
Erscheinungsdatum: 2017
Einband: Hardcover
Zustand: New

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Diego Alberto Oliva
ISBN 10: 3319637533 ISBN 13: 9783319637532
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities. Artikel-Nr. 9783319637532

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Diego Alberto Oliva
ISBN 10: 3319637533 ISBN 13: 9783319637532
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Buch. Zustand: Neu. Neuware -This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 732 pp. Englisch. Artikel-Nr. 9783319637532

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Hassanien, Aboul Ella (Editor)/ Oliva, Diego Alberto (Editor)
ISBN 10: 3319637533 ISBN 13: 9783319637532
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Hardcover. Zustand: Brand New. 732 pages. 9.25x6.10x1.65 inches. In Stock. Artikel-Nr. x-3319637533

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