Pattern Recognition, Shutao Li; Chenglin Liu; Yaonan Wang

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 1493938436 ISBN-13(EAN): 9781493938438
Издательство: Springer
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Цена: 10480.00 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: Lars Eld?n
Название: Matrix Methods in Data Mining and Pattern Recognition
ISBN: 0898716268 ISBN-13(EAN): 9780898716269
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods can be used to solve these problems, gives an introduction to matrix theory and decompositions, and provides students with a set of tools that can be modified for a particular application. Part I gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem-solving environments such as MATLAB. In Part II, linear algebra techniques are applied to data mining problems. Part III is a brief introduction to eigenvalue and singular value algorithms. The applications discussed include classification of handwritten digits, text mining, text summarization, pagerank computations related to the Google search engine, and face recognition. Exercises and computer assignments are available on a Web page that supplements the book.

Автор: Chen C. H.
Название: Signal Processing and Pattern Recognition in Nondestructive
ISBN: 3642834248 ISBN-13(EAN): 9783642834240
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Proceedings of the NATO Advanced Research Workshop on Signal Processing and Pattern Recognition in Nondestructive Evaluation of Materials, held at the Manoir St-Castin, Lac Beauport, Quebec, Canada, August 19-22, 1987.

Автор: Ngom
Название: Pattern Recognition in Bioinformatics
ISBN: 3642391583 ISBN-13(EAN): 9783642391583
Издательство: Springer
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Цена: 7547.00 р.
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Описание: This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2013, held in Nice, France, in June 2013. The papers are organized in topical sections on bio-molecular networks and pathway analysis;

Автор: Comin
Название: Pattern Recognition in Bioinformatics
ISBN: 3319091913 ISBN-13(EAN): 9783319091914
Издательство: Springer
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Цена: 5590.00 р.
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Описание: This book constitutes the refereed proceedings of the 8th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2014, held in Stockholm, Sweden in August 2014. The 9 revised full papers and 9 revised short papers presented were carefully reviewed and selected from 29 submissions.

Автор: Antonio Robles-Kelly; Marco Loog; Battista Biggio;
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3319490540 ISBN-13(EAN): 9783319490540
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR.

Автор: Murty M. Narasimha, Devi Der V. Susheela
Название: Pattern Recognition: An Algorithmic Approach
ISBN: 9814335452 ISBN-13(EAN): 9789814335454
Издательство: World Scientific Publishing
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Цена: 19800.00 р.
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Описание: Adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. This book deals with topics such as: pattern representation, nearest neighour based classifiers, neural networks, support vector machines, and decision trees.

Автор: Daniel Cremers; Yuri Boykov; Andrew Blake; Frank R
Название: Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBN: 3642036406 ISBN-13(EAN): 9783642036408
Издательство: Springer
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Цена: 13974.00 р.
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Описание: 7th International Conference EMMCVPR 2009 Bonn Germany August 2427 2009 Proceedings. .

Автор: Patricia Melin
Название: Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
ISBN: 3642270271 ISBN-13(EAN): 9783642270277
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book covers hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Includes basic theory, use of type-2 fuzzy models, optimization of type-2 fuzzy systems and modular neural networks and more.

Автор: Liu, Zhi-Qiang
Название: Type-2 Fuzzy Graphical Models for Pattern Recognition
ISBN: 3662446898 ISBN-13(EAN): 9783662446898
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition.

Автор: Tieniu Tan; Xuelong Li; Xilin Chen; Jie Zhou; Jian
Название: Pattern Recognition
ISBN: 9811030014 ISBN-13(EAN): 9789811030017
Издательство: Springer
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Цена: 12857.00 р.
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Описание: The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions.

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 13939.00 р.
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.