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Book 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.

Book details

Book category Books in English Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Full title: Machine Learning and Robot Perception
• Author: Bruno Apolloni, Ashish Ghosh, Ferda Alpaslan, Lakhmi C. Jain
• Language: English
• Binding: Paperback
• Number of pages: 354
• EAN: 9783642065866
• ISBN: 3642065864
• ID: 01651819
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 557 g
• Dimensions: 235 × 155 × 19 mm
• Date of publishing: 12. December 2011

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