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Essentials of Pattern Recognition: An Accessible Approach, Jianxin Wu


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Цена: 9029.00р.
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Автор: Jianxin Wu
Название:  Essentials of Pattern Recognition: An Accessible Approach
ISBN: 9781108483469
Издательство: Cambridge Academ
Классификация:

ISBN-10: 1108483461
Обложка/Формат: Hardcover
Страницы: 395
Вес: 0.96 кг.
Дата издания: 2020-11-30
Серия: Hard Science
Язык: English
Иллюстрации: Worked examples or exercises
Размер: 24.87 x 17.88 x 2.39 cm
Читательская аудитория: Tertiary education (us: college)
Основная тема: Machine learning,Pattern recognition, COMPUTERS / Computer Vision & Pattern Recognition
Подзаголовок: An accessible approach
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Introduces fundamental concepts, major models, and popular applications of pattern recognition for a one-semester undergraduate course. The text focuses on a relatively small number of core concepts with an abundance of illustrations and examples and provides extensive practice through student exercises.


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.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

The Art of Feature Engineering: Essentials for Machine Learning

Автор: Pablo Duboue
Название: The Art of Feature Engineering: Essentials for Machine Learning
ISBN: 1108709389 ISBN-13(EAN): 9781108709385
Издательство: Cambridge Academ
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Цена: 6970.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies.

Pattern Recognition Approach to Data Interpretation

Автор: Diane Wolff
Название: Pattern Recognition Approach to Data Interpretation
ISBN: 1461593336 ISBN-13(EAN): 9781461593331
Издательство: Springer
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Цена: 6986.00 р.
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Описание: An attempt is made in this book to give scientists a detailed working knowledge of the powerful mathematical tools available to aid in data interpretation, especially when con- fronted with large data sets incorporating many parameters.

Bayesian Reasoning and Machine Learning

Автор: Barber
Название: Bayesian Reasoning and Machine Learning
ISBN: 0521518148 ISBN-13(EAN): 9780521518147
Издательство: Cambridge Academ
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Цена: 11088.00 р.
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Описание: This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors.

Pattern Recognition Applications in Engineering

Автор: Diego Alexander Tibaduiza Burgos, Maribel Anaya Ve
Название: Pattern Recognition Applications in Engineering
ISBN: 1799818403 ISBN-13(EAN): 9781799818403
Издательство: Mare Nostrum (Eurospan)
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Цена: 23839.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The implementation of data and information analysis has become a trending solution within multiple professions. New tools and approaches are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition is an innovative method that provides comparison techniques and defines new characteristics within the information acquisition process. Despite its recent trend, a considerable amount of research regarding pattern recognition and its various strategies is lacking. Pattern Recognition Applications in Engineering is an essential reference source that discusses various strategies of pattern recognition algorithms within industrial and research applications and provides examples of results in different professional areas including electronics, computation, and health monitoring. Featuring research on topics such as condition monitoring, data normalization, and bio-inspired developments, this book is ideally designed for analysts; researchers; civil, mechanical, and electronic engineers; computing scientists; chemists; academicians; and students.

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.

Advances In Chinese Document And Text Processing

Автор: Liu Cheng-Lin Et Al
Название: Advances In Chinese Document And Text Processing
ISBN: 9813143673 ISBN-13(EAN): 9789813143678
Издательство: World Scientific Publishing
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Цена: 16790.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The book is a collection of invited chapters by experts in Chinese document and text processing, and is part of a series on Language Processing, Pattern Recognition, and Intelligent Systems. The chapters introduce the latest advances and state-of-the-art methods for Chinese document image analysis and recognition, font design, text analysis and speaker recognition. Handwritten Chinese character recognition and text line recognition are at the core of document image analysis (DIA), and therefore, are addressed in four chapters for different scripts (online characters, offline characters, ancient characters, and text lines). Two chapters on character recognition pay much attention to deep convolutional neural networks (CNNs), which are widely used and performing superiorly in various pattern recognition problems. A chapter is contributed to describe a large handwriting database consisting both online and offline characters and text pages. Postal mail reading and writer identification, addressed in two chapters, are important applications of DIA. The collection can serve as reference for students and engineers in Chinese document and text processing and their applications.

Artificial Neural Networks in Pattern Recognition

Автор: Luca Pancioni; Friedhelm Schwenker; Edmondo Trenti
Название: Artificial Neural Networks in Pattern Recognition
ISBN: 331999977X ISBN-13(EAN): 9783319999777
Издательство: Springer
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Цена: 10480.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018.
The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.
Chapter 'Bounded Rational Decision-Making with Adaptive Neural Network Priors' is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Pattern Recognition: An Algorithmic Approach

Автор: Murty M. Narasimha, Devi Der V. Susheela
Название: Pattern Recognition: An Algorithmic Approach
ISBN: 9814335452 ISBN-13(EAN): 9789814335454
Издательство: World Scientific Publishing
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Цена: 19800.00 р.
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Описание: Adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. This book deals with topics such as: pattern representation, nearest neighour based classifiers, neural networks, support vector machines, and decision trees.

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.

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.

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.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.


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