Algorithms and Architectures for Parallel Processing, Carretero

Автор: Carretero
Название: Algorithms and Architectures for Parallel Processing
ISBN: 3319495828 ISBN-13(EAN): 9783319495828
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This book constitutes the refereed proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers and 22 short papers presented were carefully reviewed and selected from 117 submissions.

Автор: Parker J J
Название: Algorithms for Image Processing and Computer Vision
ISBN: 0470643854 ISBN-13(EAN): 9780470643853
Издательство: Wiley
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Цена: 12514.00 р.
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Описание: Programmers, scientists, and engineers are always in need of newer techniques and algorithms to manipulate and interpret images. Algorithms for Image Processing and Computer Vision is an accessible collection of algorithms for common image processing applications that simplifies complicated mathematical calculations.

Автор: Arrems Hua; Shih-Liang Chang
Название: Algorithms and Architectures for Parallel Processing
ISBN: 3642030947 ISBN-13(EAN): 9783642030949
Издательство: Springer
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Цена: 19564.00 р.
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Описание: 9th International Conference ICA3PP 2009 Taipei Taiwan June 811 2009 Proceedings. .

Автор: Francisco Fern?ndez de Vega; Jos? Ignacio Hidalgo
Название: Parallel Architectures and Bioinspired Algorithms
ISBN: 3642427367 ISBN-13(EAN): 9783642427367
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book outlines best practices when combining bioinspired algorithms with parallel architectures, describes recent work by leading researchers in the field and offers a map outlining the main paths already explored and new pathways toward the future.

Автор: Diego Oliva; Erik Cuevas
Название: Advances and Applications of Optimised Algorithms in Image Processing
ISBN: 3319485490 ISBN-13(EAN): 9783319485492
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.