Machine Learning and Robot Perception |
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Editor:
| Apolloni, Bruno Ghosh, Ashish Alpaslan, Ferda Jain, Lakhmi C. Patnaik, Srikanta |
Series title: | Studies in Computational Intelligence Ser. |
ISBN: | 978-3-540-26549-8 |
Publication Date: | Sep 2005 |
Publisher: | Springer Berlin / Heidelberg
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Imprint: | Springer |
Book Format: | Hardback |
List Price: | USD $169.99 |
Book Description:
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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...
More Description
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.