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Pattern Recognition and Machine Learning, King-Sun Fu


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Цена: 111790.00T
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Автор: King-Sun Fu
Название:  Pattern Recognition and Machine Learning
ISBN: 9781461575689
Издательство: Springer
Классификация:


ISBN-10: 1461575680
Обложка/Формат: Paperback
Страницы: 344
Вес: 0.62 кг.
Дата издания: 12.12.2012
Язык: English
Размер: 254 x 178 x 19
Основная тема: Computer Science
Подзаголовок: Proceedings of the Japan—U.S. Seminar on the Learning Process in Control Systems, held in Nagoya, Japan August 18–20, 1970
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling.

Pattern Recognition and Machine Learning

Автор: Christopher M. Bishop
Название: Pattern Recognition and Machine Learning
ISBN: 1493938436 ISBN-13(EAN): 9781493938438
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

Автор: Serkan Kiranyaz; Turker Ince; Moncef Gabbouj
Название: Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
ISBN: 3642378455 ISBN-13(EAN): 9783642378454
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores multidimensional particle swarm optimization, a technique developed by the authors and presented in a well-defined algorithmic approach. All featured applications are supported with fully documented source code as well as sample datasets.

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: 92930.00 T
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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.

Mathematical Methodologies in Pattern Recognition and Machine Learning

Автор: Pedro Latorre Carmona; J. Salvador S?nchez; Ana L.
Название: Mathematical Methodologies in Pattern Recognition and Machine Learning
ISBN: 1493900927 ISBN-13(EAN): 9781493900923
Издательство: Springer
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Цена: 102480.00 T
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Описание: This volume features key contributions from the International Conference on Pattern Recognition Applications and Methods, (ICPRAM 2012,) held in Vilamoura, Algarve, Portugal from February 6th-8th, 2012.

Machine Learning and Data Mining in Pattern Recognition

Автор: Petra Perner; Maria Petrou
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3540665994 ISBN-13(EAN): 9783540665991
Издательство: Springer
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Цена: 65210.00 T
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Описание: The refereed proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition (MLDM `99). Topics covered include image retrieval, classification and image interpretation, symbolic learning and neural networks in document processing, and data mining.

Machine Learning Techniques for Gait Biometric Recognition

Автор: James Eric Mason; Issa Traor?; Isaac Woungang
Название: Machine Learning Techniques for Gait Biometric Recognition
ISBN: 331929086X ISBN-13(EAN): 9783319290867
Издательство: Springer
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Цена: 93160.00 T
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Описание: Introduction.- Background.- Experimental Design and Dataset.- Feature Extraction.-Normalization.- Classification.- Measured Performance.- Experimental Analysis.- Conclusion.

Machine Learning and Data Mining in Pattern Recognition

Автор: Petra Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319210238 ISBN-13(EAN): 9783319210230
Издательство: Springer
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Цена: 59630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Machine Learning and Data Mining in Pattern Recognition

Автор: Perner
Название: Machine Learning and Data Mining in Pattern Recognition
ISBN: 3319419196 ISBN-13(EAN): 9783319419190
Издательство: Springer
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Цена: 89440.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.

Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

Автор: Serkan Kiranyaz; Turker Ince; Moncef Gabbouj
Название: Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
ISBN: 3642437621 ISBN-13(EAN): 9783642437625
Издательство: Springer
Рейтинг:
Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores multidimensional particle swarm optimization, a technique developed by the authors and presented in a well-defined algorithmic approach. All featured applications are supported with fully documented source code as well as sample datasets.

Human Activity Recognition

Автор: Labrador, Miguel A.
Название: Human Activity Recognition
ISBN: 1466588276 ISBN-13(EAN): 9781466588271
Издательство: Taylor&Francis
Рейтинг:
Цена: 137810.00 T
Наличие на складе: Невозможна поставка.
Описание:

Learn How to Design and Implement HAR Systems

The pervasiveness and range of capabilities of today's mobile devices have enabled a wide spectrum of mobile applications that are transforming our daily lives, from smartphones equipped with GPS to integrated mobile sensors that acquire physiological data. Human Activity Recognition: Using Wearable Sensors and Smartphones focuses on the automatic identification of human activities from pervasive wearable sensors--a crucial component for health monitoring and also applicable to other areas, such as entertainment and tactical operations.

Developed from the authors' nearly four years of rigorous research in the field, the book covers the theory, fundamentals, and applications of human activity recognition (HAR). The authors examine how machine learning and pattern recognition tools help determine a user's activity during a certain period of time. They propose two systems for performing HAR: Centinela, an offline server-oriented HAR system, and Vigilante, a completely mobile real-time activity recognition system. The book also provides a practical guide to the development of activity recognition applications in the Android framework.


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: 51750.00 T
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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/

Pattern Recognition,

Автор: Sergios Theodoridis
Название: Pattern Recognition,
ISBN: 1597492728 ISBN-13(EAN): 9781597492720
Издательство: Elsevier Science
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Цена: 96550.00 T
Наличие на складе: Поставка под заказ.
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.


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