Markov Random Field Modeling in Image Analysis, Stan Z. Li

Автор: Yu Sheng Zheng
Название: Hidden Semi-Markov Models
ISBN: 0128027673 ISBN-13(EAN): 9780128027677
Издательство: Elsevier Science
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Цена: 5051.00 р.
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Описание:

Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms.

Автор: Ivan Markovsky
Название: Low Rank Approximation
ISBN: 1447158369 ISBN-13(EAN): 9781447158363
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book details the theory, algorithms, and applications of structured low-rank approximation, and presents efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel and Sylvester structured problems and more.

Автор: S. Kevin Zhou; Wen-Yi Zhao; Xiaoou Tang; Shaogang
Название: Analysis and Modeling of Faces and Gestures
ISBN: 3540756892 ISBN-13(EAN): 9783540756897
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the Third International Workshop on Analysis and Modelling of Faces and Gestures, AMFG 2007, held in Rio de Janeiro, Brazil, in October 2007 within the scope of ICCV 2007, the International Conference on Computer Vision. This book presents 8 revised full papers together with 13 revised poster papers.

Автор: Fr?nzle
Название: Formal Modeling and Analysis of Timed Systems
ISBN: 3319448773 ISBN-13(EAN): 9783319448770
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of the 14th International Conference on Formal Modeling and Analysis of Timed Systems, FORMATS 2016, held in Quebec, QC, Canada, in August 2016. They are organized in topical sections entitled: modeling timed phenomena;

Автор: Pasquale Foggia; Carlo Sansone; Mario Vento
Название: Image Analysis and Processing -- ICIAP 2009
ISBN: 3642041450 ISBN-13(EAN): 9783642041457
Издательство: Springer
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Цена: 23757.00 р.
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Автор: Halina Kwasnicka; Lakhmi C. Jain
Название: Innovations in Intelligent Image Analysis
ISBN: 3642267203 ISBN-13(EAN): 9783642267208
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This book sets out an array of new and important research in the field of image processing and analysis. Covering a range of topics, the chapters include a number of case studies as well as some of the most state-of-the-art image analysis methodologies.

Автор: Luis Rueda; Domingo Mery; Josef Kittler
Название: Progress in Pattern Recognition, Image Analysis and Applications
ISBN: 354076724X ISBN-13(EAN): 9783540767244
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Constitutes the refereed proceedings of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, held in Valparaiso, Chile, November 13-16, 2007. This book includes papers that cover research and mathematical methods for pattern recognition, image analysis, and applications in such diverse areas as computer vision, industry, and health.

Автор: Joan Mart?; Jos? Miguel Bened?; Ana Maria Mendon?a
Название: Pattern Recognition and Image Analysis
ISBN: 3540728481 ISBN-13(EAN): 9783540728481
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Constitutes the refereed proceedings of the Third Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2007, held in Girona, Spain in June 2007. This title presents 48 revised full papers and 108 revised poster papers together with 3 invited talks that were reviewed and selected from 328 submissions.

Автор: Luc Florack; Remco Duits; Geurt Jongbloed; Marie-C
Название: Mathematical Methods for Signal and Image Analysis and Representation
ISBN: 1447158903 ISBN-13(EAN): 9781447158905
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book presents a mathematical methodology for image analysis tasks at the edge of current research, including anisotropic diffusion filtering of tensor fields. Instead of specific applications, it explores methodological structures on which they are built.