Syntactic and Structural Pattern Recognition, Gabriel Ferrate; Theo Pavlidis; Alberto Sanfeliu;

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: 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: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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Цена: 5557.00 р.
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Описание: An accompanying manual to "Theodoridis/Koutroumbas, Pattern Recognition", that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Цена: 7762.00 р.
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

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: 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: Niels da Vitoria Lobo; Takis Kasparis; Michael Geo
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3540896880 ISBN-13(EAN): 9783540896883
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Contains papers organized in topical sections on graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, and computer vision and biometrics.

Автор: Dit-Yan Yeung; James T. Kwok; Ana Fred; Fabio Roli
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3540372369 ISBN-13(EAN): 9783540372363
Издательство: Springer
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Цена: 20263.00 р.
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Описание: Constitutes the proceedings of the 11th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2006 and the 6th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2006, held in Hong Kong, August 2006 alongside the Conference on Pattern Recognition, ICPR 2006.

Автор: Terry Caelli; Adnan Amin; Robert P.W. Duin; Mohame
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3540440119 ISBN-13(EAN): 9783540440116
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Constitutes the proceedings of the 9th International Workshop on Structural and Syntactic Pattern Recognition and the 4th International Workshop on Statistical Techniques in Pattern Recognition held in Canada in 2002.

Автор: K.S. Fu; J.E. Albus; R.H. Anderson; J.M. Brayer; R
Название: Syntactic Pattern Recognition, Applications
ISBN: 3642664407 ISBN-13(EAN): 9783642664403
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach.

Автор: Petra Perner; Patrick Wang; Azriel Rosenfeld
Название: Advances in Structural and Syntactical Pattern Recognition
ISBN: 3540615776 ISBN-13(EAN): 9783540615774
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The papers contained in this text are divided into sections on: grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-bassed methods; 2D and 3D shape recognition; and handwritten and printed character recognition.

Автор: A.E. Pierce
Название: Language Acquisition and Syntactic Theory
ISBN: 9401051356 ISBN-13(EAN): 9789401051354
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The theory of language acquisition is a young but increasingly active field. Language Acquisition and Syntactic Theory presents one of the first detailed studies of comparative syntax acquisition.