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Syntactic Pattern Recognition, Flasinski


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Цена: 21384.00р.
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Автор: Flasinski
Название:  Syntactic Pattern Recognition
ISBN: 9789813278462
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9813278463
Обложка/Формат: Hardback
Страницы: 404
Вес: 0.84 кг.
Дата издания: 12.04.2019
Серия: Series in computer vision
Язык: English
Размер: 244 x 170 x 24
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Pattern recognition, COMPUTERS / Intelligence (AI) & Semantics,COMPUTERS / Computer Vision & Pattern Recognition,MEDICAL / Allied Health Services / Radiological & Ultrasound Technology
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Поставляется из: Англии
Описание: This unique compendium presents the major methods of recognition and learning used in syntactic pattern recognition from the 1960s till 2018. Each method is introduced firstly in a formal way. Then, it is explained with the help of examples and its algorithms are described in a pseudocode. The survey of the applications contains more than 1,000 sources published since the 1960s. The open problems in the field, the challenges and the determinants of the future development of syntactic pattern recognition are discussed.This must-have volume provides a good read and serves as an excellent source of reference materials for researchers, academics, and postgraduate students in the fields of pattern recognition, machine perception, computer vision and artificial intelligence.


Linear Algebra and Learning from Data

Автор: Strang Gilbert
Название: Linear Algebra and Learning from Data
ISBN: 0692196382 ISBN-13(EAN): 9780692196380
Издательство: Cambridge Academ
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Цена: 9978.00 р.
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Описание: Linear algebra and the foundations of deep learning, together at last! From Professor Gilbert Strang, acclaimed author of Introduction to Linear Algebra, comes Linear Algebra and Learning from Data, the first textbook that teaches linear algebra together with deep learning and neural nets. This readable yet rigorous textbook contains a complete course in the linear algebra and related mathematics that students need to know to get to grips with learning from data. Included are: the four fundamental subspaces, singular value decompositions, special matrices, large matrix computation techniques, compressed sensing, probability and statistics, optimization, the architecture of neural nets, stochastic gradient descent and backpropagation.

Scaling up machine learning

Название: Scaling up machine learning
ISBN: 1108461743 ISBN-13(EAN): 9781108461740
Издательство: Cambridge Academ
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Цена: 7445.00 р.
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Описание: In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications.

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: 13416.00 р.
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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.

Understanding Machine Learning

Автор: Shalev-Shwartz
Название: Understanding Machine Learning
ISBN: 1107057132 ISBN-13(EAN): 9781107057135
Издательство: Cambridge Academ
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Цена: 11194.00 р.
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Описание: Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the `hows` and `whys` of machine-learning algorithms, making the field accessible to both students and practitioners.

Introduction to Applied Linear Algebra

Автор: Boyd Stephen
Название: Introduction to Applied Linear Algebra
ISBN: 1316518965 ISBN-13(EAN): 9781316518960
Издательство: Cambridge Academ
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Цена: 6811.00 р.
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Описание: A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning and artificial intelligence, signal and image processing, navigation, control, and finance.

Pattern Recognition and Image Analysis

Автор: Joao Miguel Sanches; Luisa Mic?; Jaime Cardoso
Название: Pattern Recognition and Image Analysis
ISBN: 364238627X ISBN-13(EAN): 9783642386275
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book constitutes the refereed proceedings of the 6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013, held in Funchal, Madeira, Portugal, in June 2013. The papers are organized in topical sections on computer vision, pattern recognition, image and signal, applications.

Structural, Syntactic, and Statistical Pattern Recognition

Автор: Antonio Robles-Kelly; Marco Loog; Battista Biggio;
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3319490540 ISBN-13(EAN): 9783319490540
Издательство: Springer
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Цена: 10342.00 р.
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Описание: This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition, S+SSPR 2016, consisting of the International Workshop on Structural and Syntactic Pattern Recognition SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR.

Structural, Syntactic, and Statistical Pattern Recognition

Автор: Dit-Yan Yeung; James T. Kwok; Ana Fred; Fabio Roli
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3540372369 ISBN-13(EAN): 9783540372363
Издательство: Springer
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Цена: 20263.00 р.
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Описание: Constitutes the proceedings of the 11th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2006 and the 6th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2006, held in Hong Kong, August 2006 alongside the Conference on Pattern Recognition, ICPR 2006.

The Cambridge Handbook of Cognitive Linguistics

Автор: Dancygier
Название: The Cambridge Handbook of Cognitive Linguistics
ISBN: 1107118441 ISBN-13(EAN): 9781107118447
Издательство: Cambridge Academ
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Цена: 24394.00 р.
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Описание: A comprehensive survey of the quickly developing discipline of cognitive linguistics, its rich methodology, key results, and interdisciplinary context. Providing an accessible overview of research questions, basic concepts, and various theoretical approaches, the Handbook places linguistic facts in the context of gesture studies, neuroscience, computational approaches, and many other fields.

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.

Handbook Of Pattern Recognition And Computer Vision (4Th Edition)

Автор: Chen C H
Название: Handbook Of Pattern Recognition And Computer Vision (4Th Edition)
ISBN: 9814273384 ISBN-13(EAN): 9789814273381
Издательство: World Scientific Publishing
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Цена: 31046.00 р.
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Описание: Both pattern recognition and computer vision have experienced progress over the years. This book describes various advances on pattern recognition and computer vision along with their many applications.

Structural, Syntactic, and Statistical Pattern Recognition

Автор: Terry Caelli; Adnan Amin; Robert P.W. Duin; Mohame
Название: Structural, Syntactic, and Statistical Pattern Recognition
ISBN: 3540440119 ISBN-13(EAN): 9783540440116
Издательство: Springer
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Цена: 18167.00 р.
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Описание: Constitutes the proceedings of the 9th International Workshop on Structural and Syntactic Pattern Recognition and the 4th International Workshop on Statistical Techniques in Pattern Recognition held in Canada in 2002.


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