Computer Vision: Specialized Processors for Real-Time Image Analysis, Eduard Montseny; Joan Frau

Автор: Manoj Franklin
Название: Multiscalar Processors
ISBN: 1461353645 ISBN-13(EAN): 9781461353645
Издательство: Springer
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Описание: Multiscalar Processors presents a comprehensive treatment of the basic principles of Multiscalar execution, and advanced techniques for implementing the Multiscalar concepts. It starts with technology trends that provide an impetus to the development of multiscalar processors and shape the development of future processors.

Автор: Alvaro Pardo; Josef Kittler
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3319257501 ISBN-13(EAN): 9783319257501
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition;

Автор: Eduardo Bayro Corrochano; Jan-Olof Eklundh
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3642102670 ISBN-13(EAN): 9783642102677
Издательство: Springer
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Описание: The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009, C- gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican pattern recognition community.

Автор: G. Lerman; L. Rudolph
Название: Parallel Evolution of Parallel Processors
ISBN: 1461362377 ISBN-13(EAN): 9781461362371
Издательство: Springer
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Описание: -CONFUCIUS A well written, organized, and concise survey is an important tool in any newly emerging field of study. Virtually every new research area has its roots in several diverse areas and many of the initial fundamental results are dispersed across a wide range of journals, books, and conferences in many dif- ferent sub fields.

Автор: C?sar Beltr?n-Casta??n; Ingela Nystr?m; Fazel Fami
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3319522760 ISBN-13(EAN): 9783319522760
Издательство: Springer
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Описание: This book constitutes the refereed post-conference proceedings of the 21st Iberoamerican Congress on Pattern Recognition, CIARP 2016, held in Lima, Peru, in November 2016. The 69 papers presented were carefully reviewed and selected from 131 submissions.

Автор: Jos? Ruiz-Shulcloper; Gabriella Sanniti di Baja
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3642418260 ISBN-13(EAN): 9783642418266
Издательство: Springer
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Описание: The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.

Автор: Jos? Ruiz-Shulcloper; Gabriella Sanniti di Baja
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 364241821X ISBN-13(EAN): 9783642418211
Издательство: Springer
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Описание: The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.

Автор: Eduardo Bayro-Corrochano; Edwin Hancock
Название: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
ISBN: 3319125672 ISBN-13(EAN): 9783319125671
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014, held in Puerto Vallarta, Jalisco, Mexico, in November 2014. The papers are organized in topical sections on image coding, processing and analysis; pattern recognition and machine learning; neural networks for pattern recognition;