Visual Pattern Discovery and Recognition, Hongxing Wang; Chaoqun Weng; Junsong Yuan

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: 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: Fred A. Hamprecht; Christoph Schn?rr; Bernd J?hne
Название: Pattern Recognition
ISBN: 3540749330 ISBN-13(EAN): 9783540749332
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Contains sections on image filtering, restoration and segmentation, shape analysis and representation, and recognition. This book also covers categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, motion analysis and tracking, and pose recognition.

Автор: Lionel Prevost; Simone Marinai; Friedhelm Schwenke
Название: Artificial Neural Networks in Pattern Recognition
ISBN: 3540699384 ISBN-13(EAN): 9783540699385
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008. This book features 18 revised full papers and 11 revised poster papers which are organized in topical sections on unsupervised learning, supervised learning, and applications.

Автор: Andrea Torsello; Francisco Escolano Ruiz; Luc Brun
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3642021239 ISBN-13(EAN): 9783642021237
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009.

Автор: Petra Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3642030696 ISBN-13(EAN): 9783642030697
Издательство: Springer
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Цена: 18167.00 р.
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Описание: 6th International Conference MLDM 2009 Leipzig Germany July 2325 2009 Proceedings. .

Автор: Gerhard Rigoll
Название: Pattern Recognition
ISBN: 3540693203 ISBN-13(EAN): 9783540693208
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Constitutes the refereed proceedings of the 30th Symposium of the German Association for Pattern Recognition, DAGM 2008, held in Munich, Germany, in June 2008. This book features 53 revised full papers which are organized in topical sections on learning and classification, tracking, medical image processing and segmentation, and image analysis.

Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai
Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition
ISBN: 9812870555 ISBN-13(EAN): 9789812870551
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds.

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: Joachim Denzler; Gunther Notni; Herbert S??e
Название: Pattern Recognition
ISBN: 3642037976 ISBN-13(EAN): 9783642037979
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book constitutes the refereed proceedings of the 31st Symposium of the German Association for Pattern Recognition, DAGM 2009, held in Jena, Germany, in September 2009. The 56 revised full papers were carefully reviewed and selected from numerous submissions. pedestrian recognition and automotive applications;

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: 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.