Описание: The increasing presence of mobile robots in our everyday lives introduces the requirements for their intelligent and autonomous features. Therefore the next generation of mobile robots should be more self-capable, in respect to: increasing of their functionality in unforeseen situations, decreasing of the human involvement in their everyday operations and their maintenance; being robust; fault tolerant and reliable in their operation.Although mobile robotic systems have been a topic of research for decades and aside the technology improvements nowadays, the subject on how to program and making them more autonomous in their operations is still an open field for research.Applying bio-inspired, organic approaches in robotics domain is one of the methodologies that are considered that would help on making the robots more autonomous and self-capable, i.e. having properties such as: self-reconfiguration, self-adaptation, self-optimization, etc.In this book several novel biologically inspired approaches for walking robots (multi-legged and humanoid) domain are introduced and elaborated. They are related to self-organized and self-stabilized robot walking, anomaly detection within robot systems using self-adaptation, and mitigating the faulty robot conditions by self-reconfiguration of a multi-legged walking robot. The approaches presented have been practically evaluated in various test scenarios, the results from the experiments are discussed in details and their practical usefulness is validated.
Автор: Camastra Francesco Название: Machine Learning for Audio, Image and Video Analysis ISBN: 1447167341 ISBN-13(EAN): 9781447167341 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book illustrates how to deal with complex media and convert raw data into useful information. Students and researchers needing a solid foundation or reference, and practitioners interested in discovering more about the state-of-the-art will find this book invaluable.
Автор: Yudong Zhang; Zhengchao Dong; Shuihua Wang; Preeth Название: Pathological Brain Detection by Machine Learning ISBN: 9811040257 ISBN-13(EAN): 9789811040252 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images.
Автор: Christine Preisach; Hans Burkhardt; Lars Schmidt-T Название: Data Analysis, Machine Learning and Applications ISBN: 3540782397 ISBN-13(EAN): 9783540782391 Издательство: Springer Рейтинг: Цена: 27944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains the selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft fur Klassifikation - GfKl), which was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
Автор: Liang Wang; Guoying Zhao; Li Cheng; Matti Pietik?i Название: Machine Learning for Vision-Based Motion Analysis ISBN: 1447126076 ISBN-13(EAN): 9781447126072 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Based on contributions to the International Workshop on Machine Learning for Vision-Based Motion Analysis, this volume highlights the latest algorithms and systems for robust and effective vision-based motion understanding.
Описание: This textbook is an overview of theories, methodologies, and recent developments in the field, covering the theoretical foundation and providing a complete summary of the latest advances. It also presents key issues to be considered in making a real system.
Автор: Shanmugam Название: Random Signals - Detection Estimation and Data Analysis ISBN: 0471815551 ISBN-13(EAN): 9780471815556 Издательство: Wiley Рейтинг: Цена: 39909.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. It covers the fundamentals of random process models, the applications of probabilistic models and statistical estimation.
Автор: Shaogang Gong; Tao Xiang Название: Visual Analysis of Behaviour ISBN: 1447161246 ISBN-13(EAN): 9781447161240 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores visual analysis of behaviour from computational-modeling and algorithm-design perspectives, covering learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, modelling rare behaviours, and more.
Автор: Michal Kawulok; Emre Celebi; Bogdan Smolka Название: Advances in Face Detection and Facial Image Analysis ISBN: 3319259563 ISBN-13(EAN): 9783319259567 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Topicsof interest include face and facial landmark detection, face recognition, facialexpression and emotion analysis, facial dynamics analysis, face classification,identification, and clustering, and gaze direction and head pose estimation, aswell as applications of face analysis.
Описание: This book presents the state-of-the-art in various aspects of analysis and mining of online social networks.
Автор: Alan H. Fielding Название: Machine Learning Methods for Ecological Applications ISBN: 1461374138 ISBN-13(EAN): 9781461374138 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem.
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