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Advances in Pattern Recognition, Adnan Amin; Dov Dori; Pavel Pudil; Herbert Freeman


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Автор: Adnan Amin; Dov Dori; Pavel Pudil; Herbert Freeman
Название:  Advances in Pattern Recognition
ISBN: 9783540648581
Издательство: Springer
Классификация:
ISBN-10: 3540648585
Обложка/Формат: Paperback
Страницы: 1050
Вес: 1.47 кг.
Дата издания: 29.07.1998
Серия: Lecture Notes in Computer Science
Язык: English
Размер: 234 x 156 x 54
Основная тема: Computer Science
Подзаголовок: Joint IAPR International Workshops, SSPR'98 and SPR'98, Sydney, Australia, August 11-13, 1998, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Advances in Pattern Recognition.


Advances in Feature Selection for Data and Pattern Recognition

Автор: Urszula Sta?czyk; Beata Zielosko; Lakhmi C. Jain
Название: Advances in Feature Selection for Data and Pattern Recognition
ISBN: 3319675877 ISBN-13(EAN): 9783319675879
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of recent advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions and new applications.

Neural Networks for Pattern Recognition

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.

Pattern Recognition and Neural Networks

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/

Introduction to Pattern Recognition: A Matlab Approach,

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.

Pattern Recognition,

Автор: Sergios Theodoridis
Название: Pattern Recognition,
ISBN: 1597492728 ISBN-13(EAN): 9781597492720
Издательство: Elsevier Science
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Цена: 14483.00 р.
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Описание: Considers classical and theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. This book provides an self-contained volume encapsulating this spectrum of information.

Matrix Methods in Data Mining and Pattern Recognition

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.

Advances in Structural and Syntactical Pattern Recognition

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.

International Conference on Advances in Pattern Recognition

Автор: Sameer Singh
Название: International Conference on Advances in Pattern Recognition
ISBN: 1447112148 ISBN-13(EAN): 9781447112143
Издательство: Springer
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Цена: 15372.00 р.
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Описание: International Conference on Advances in Pattern Recognition (ICAPR 98) at Plymouth represents an important meeting for advanced research in pattern recognition. My personal thanks to Mrs. Barbara Davies who served as conference secretary and worked tirelessly in organising the conference.

Correlation Pattern Recognition

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.

Graphics Recognition. Recent Advances and New Opportunities

Автор: Liu Wenyin; Josep Llad?s; Jean-Marc Ogier
Название: Graphics Recognition. Recent Advances and New Opportunities
ISBN: 3540881840 ISBN-13(EAN): 9783540881841
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Covers the post-proceedings of the 7th International Workshop on Graphics Recognition, GREC 2007, held in Curitiba, Brazil in September 2007. This book features sections on technical documents, maps and diagrams understanding; symbol and shape description and recognition; and, information retrieval, indexing and spotting.

Energy Minimization Methods in Computer Vision and Pattern Recognition

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. .

Pattern Recognition

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;


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