Computational Intelligence for Pattern Recognition, Pedrycz

Автор: Tshilidzi Marwala; Monica Lagazio
Название: Militarized Conflict Modeling Using Computational Intelligence
ISBN: 1447127013 ISBN-13(EAN): 9781447127017
Издательство: Springer
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Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.

Автор: Pramod Kumar Pisharady; Prahlad Vadakkepat; Loh Ai
Название: Computational Intelligence in Multi-Feature Visual Pattern Recognition
ISBN: 9811011710 ISBN-13(EAN): 9789811011719
Издательство: Springer
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Цена: 15672.00 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: 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: Shubhabrata Datta
Название: Materials Design Using Computational Intelligence Techniques
ISBN: 1482238322 ISBN-13(EAN): 9781482238327
Издательство: Taylor&Francis
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Описание: This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database.

Автор: B. Uma Shankar; Kuntal Ghosh; Deba Prasad Mandal;
Название: Pattern Recognition and Machine Intelligence
ISBN: 3319698990 ISBN-13(EAN): 9783319698991
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions.

Автор: Marzena Kryszkiewicz; Sanghamitra Bandyopadhyay; H
Название: Pattern Recognition and Machine Intelligence
ISBN: 3319199404 ISBN-13(EAN): 9783319199405
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held in Warsaw, Poland, in June/July 2015. The total of 53 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 90 submissions. They were organized in topical sections named: foundations of machine learning; image processing; image retrieval; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications of artificial intelligence.

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.

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: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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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: 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.

Автор: Tomasz G. Smolinski; Mariofanna G. Milanova; Aboul
Название: Applications of Computational Intelligence in Biology
ISBN: 3642097308 ISBN-13(EAN): 9783642097300
Издательство: Springer
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Цена: 30606.00 р.
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Описание: This book presents current applications of Computational Intelligence in Biology. It provides a medium for an exchange of expertise and concerns. The editors have solicited contributions from both computational intelligence as well as biology researchers.

Автор: Ngoc Thanh Nguyen; George A. Papadopoulos; Piotr J
Название: Computational Collective Intelligence
ISBN: 331967076X ISBN-13(EAN): 9783319670768
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This two-volume set (LNAI 10448 and LNAI 10449) constitutes the refereed proceedings of the 9th International Conference on Collective Intelligence, ICCCI 2017, held in Nicosia, Cyprus, in September 2017.
The 117 full papers presented were carefully reviewed and selected from 248 submissions. The conference focuseson the methodology and applications of computational collective intelligence, included: multi-agent systems, knowledge engineering and semantic web, social networks and recommender systems, text processing and information retrieval, data mining methods and applications, sensor networks and internet of things, decision support & control systems, and computer vision techniques.