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Machine Learning and Robot Perception

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Machine Learning and Robot Perception Synopsis

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.

About This Edition

ISBN: 9783642065866
Publication date:
Author: Bruno Apolloni
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 351 pages
Series: Studies in Computational Intelligence
Genres: Automatic control engineering
Artificial intelligence

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