Fuzzy Models and Algorithms for Pattern Recognition and Image Processing, James C. Bezdek; James Keller; Raghu Krisnapuram;

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 0387310738 ISBN-13(EAN): 9780387310732
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Автор: Vladimir A. Fomichov
Название: Semantics-Oriented Natural Language Processing: Mathematical Models and Algorithms. IFSR International Series on Systems Science and Engineering, Vol. 27
ISBN: 0387729240 ISBN-13(EAN): 9780387729244
Издательство: Springer
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Цена: 12571.00 р.
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Описание: Examines key issues in designing semantics-oriented natural language processing systems. This book uses examples and illustrations to clarify complex material and demonstrate practical applications. It includes historical and bibliographical notes, end-of-chapter exercises, and glossaries.

Автор: Kumar
Название: Correlation Pattern Recognition
ISBN: 0521153484 ISBN-13(EAN): 9780521153485
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.

Автор: Nanning Zheng; Jianru Xue
Название: Statistical Learning and Pattern Analysis for Image and Video Processing
ISBN: 1447126734 ISBN-13(EAN): 9781447126737
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This textbook is an overview of theories, methodologies, and recent developments in the field, covering the theoretical foundation and providing a complete summary of the latest advances. It also presents key issues to be considered in making a real system.

Автор: Chen C H
Название: Handbook Of Pattern Recognition And Computer Vision (4Th Edition)
ISBN: 9814273384 ISBN-13(EAN): 9789814273381
Издательство: World Scientific Publishing
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Цена: 31046.00 р.
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Описание: Both pattern recognition and computer vision have experienced progress over the years. This book describes various advances on pattern recognition and computer vision along with their many applications.

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: 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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Цена: 23757.00 р.
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Описание: The 14th Iberoamerican Congress on Pattern Recognition (CIARP 2009, C- gresoIberoAmericanodeReconocimientodePatrones)formedthelatestofanow longseriesofsuccessfulmeetingsarrangedbytherapidlygrowingIberoamerican pattern recognition community.

Автор: Steeb Willi-Hans
Название: Nonlinear Workbook, The: Chaos, Fractals, Cellular Automata, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic With C++, Java And Symbolicc++ Programs (5Th Edition)
ISBN: 9814335770 ISBN-13(EAN): 9789814335775
Издательство: World Scientific Publishing
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Цена: 17899.00 р.
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Описание: Provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. This book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, it includes more than 100 worked out examples and 150 ready to run programs.