Identification, Adaptation, Learning, Sergio Bittanti; Giorgio Picci

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Автор: Avril
Название: Material Parameter Identification and Inverse Problems in Soft Tissue Biomechanics
ISBN: 3319450700 ISBN-13(EAN): 9783319450704
Издательство: Springer
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Цена: 16769.00 р.
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Описание: people performing tests on soft tissues will learn what to extract from the data and how to use these data for their models and people worried about the complexity of the biomechanical behavior of soft tissues will find relevant approaches to address this complexity.

Автор: Graham Goodwin
Название: Model Identification and Adaptive Control
ISBN: 1447111850 ISBN-13(EAN): 9781447111856
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book is based on a workshop entitled.: Model " Identification and Adap- tive Control: From Windsurfing to Telecommunications" held in Sydney, Aus- tralia, on December 16, 2000.

Автор: Ajay Kumar
Название: Contactless 3D Fingerprint Identification
ISBN: 3319676806 ISBN-13(EAN): 9783319676807
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system.Topics and features: introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques; proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo; describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans; examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates; reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach; discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques.This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies.

Автор: Johannes Gottlieb; Paul DuChateau
Название: Parameter Identification and Inverse Problems in Hydrology, Geology and Ecology
ISBN: 9401072639 ISBN-13(EAN): 9789401072632
Издательство: Springer
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Цена: 26122.00 р.
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Автор: Shaogang Gong; Marco Cristani; Shuicheng Yan; Chen
Название: Person Re-Identification
ISBN: 1447162951 ISBN-13(EAN): 9781447162957
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes;

Автор: D. Hawkins
Название: Identification of Outliers
ISBN: 9401539960 ISBN-13(EAN): 9789401539968
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The problem of outliers is one of the oldest in statistics, and during the last century and a half interest in it has waxed and waned several times. Currently it is once again an active research area after some years of relative neglect, and recent work has solved a number of old problems in outlier theory, and identified new ones.

Автор: Krzysztof R. Kozlowski
Название: Modelling and Identification in Robotics
ISBN: 354076240X ISBN-13(EAN): 9783540762409
Издательство: Springer
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Цена: 23757.00 р.
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Описание: Examines the topical, complex issues of modelling and identification in robotics. This book is devoted to robot dynamics modelling and identification of robot and load parameters, incorporating friction torques, discussing identification schemes, and offering simulations and experimental results of robot and load dynamic parameters identification.

Автор: Michiel Hazewinkel; J.C. Williams
Название: Stochastic Systems: The Mathematics of Filtering and Identification and Applications
ISBN: 9027713308 ISBN-13(EAN): 9789027713308
Издательство: Springer
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Цена: 44861.00 р.
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Автор: Torsten P. Bohlin
Название: Practical Grey-box Process Identification
ISBN: 1849965986 ISBN-13(EAN): 9781849965989
Издательство: Springer
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Цена: 25853.00 р.
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Описание: This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries.

Автор: Achilleas Zapranis; Apostolos-Paul N. Refenes
Название: Principles of Neural Model Identification, Selection and Adequacy
ISBN: 1852331399 ISBN-13(EAN): 9781852331399
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Based on developments in estimation theory, model selection and the theory of mis-specified models, this volume develops neural networks into a financial econometrics tool for non-parametric modelling. It provides the theoretical framework and uses neural networks for complex financial phenomena.

Автор: Hugues Garnier; Liuping Wang
Название: Identification of Continuous-time Models from Sampled Data
ISBN: 1849967407 ISBN-13(EAN): 9781849967402
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This is the first book dedicated to direct continuous-time model identification for 15 years. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB (R) can be used for direct time-domain identification of continuous-time systems.