Structural, Syntactic, and Statistical Pattern Recognition, Terry Caelli; Adnan Amin; Robert P.W. Duin; Mohame

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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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: 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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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: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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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: Kumar
Название: Correlation Pattern Recognition
ISBN: 0521153484 ISBN-13(EAN): 9780521153485
Издательство: Cambridge Academ
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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: 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: 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: Gabriel Ferrate; Theo Pavlidis; Alberto Sanfeliu;
Название: Syntactic and Structural Pattern Recognition
ISBN: 3642834647 ISBN-13(EAN): 9783642834646
Издательство: Springer
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Цена: 11173.00 р.
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Описание: Proceedings of the NATO Advanced Research Workshop on Syntactic and Structural Pattern Recognition, held in Barcelona-Sitges, Spain, October 23-25, 1986

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: Addisson Salazar
Название: On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling
ISBN: 3642428754 ISBN-13(EAN): 9783642428753
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This outstanding review of the literature on the core theoretical foundations of applied statistical pattern recognition defines a novel mode of pattern recognition and classification, based on independent component analysis mixture modeling (ICAMM).

Автор: Kaspar Riesen
Название: Structural Pattern Recognition with Graph Edit Distance
ISBN: 3319272519 ISBN-13(EAN): 9783319272511
Издательство: Springer
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Цена: 9781.00 р.
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Описание: This unique text/reference presents a thorough introduction to the field of structural pattern recognition, with a particular focus on graph edit distance (GED). illustrates how the quadratic assignment problem of GED can be reduced to a linear sum assignment problem;

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.