Sparse Representation, Modeling and Learning in Visual Recognition, Hong Cheng
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.
Автор: Yun Fu Название: Low-Rank and Sparse Modeling for Visual Analysis ISBN: 3319355678 ISBN-13(EAN): 9783319355672 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data.
Автор: Jens Spehr Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities ISBN: 3319358626 ISBN-13(EAN): 9783319358628 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.
Автор: Hong Cheng Название: Sparse Representation, Modeling and Learning in Visual Recognition ISBN: 1447167139 ISBN-13(EAN): 9781447167136 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This unique text/reference presents a comprehensive review of the state of the art in sparse representations, modeling and learning. covers feature representation and learning, sparsity induced similarity, and sparse representation and learning-based classifiers;
Автор: Yun Fu Название: Low-Rank and Sparse Modeling for Visual Analysis ISBN: 3319119990 ISBN-13(EAN): 9783319119991 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a view of low-rank and sparse computing, especially approximation, recovery, representation, scaling, coding, embedding and learning among unconstrained visual data.
Автор: Michael Elad Название: Sparse and Redundant Representations ISBN: 1489982450 ISBN-13(EAN): 9781489982452 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces sparse and redundant representations with a focus on applications in signal and image processing. It details mathematical modeling for signal sources along with how to use the model for tasks such as denoising, restoration and separation.
Автор: Jens Spehr Название: On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities ISBN: 3319113240 ISBN-13(EAN): 9783319113241 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In many computer vision applications, objects have to be learned and recognized in images or image sequences.
Автор: Yongzhen Huang; Tieniu Tan Название: Feature Coding for Image Representation and Recognition ISBN: 3662449994 ISBN-13(EAN): 9783662449998 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline.
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