Machine Learning and Robot Perception

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, reinforce...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Apolloni, Bruno (Editor), Ghosh, Ashish (Editor), Alpaslan, Ferda (Editor), Patnaik, Srikanta (Editor)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edition:1st ed. 2005.
Series:Studies in Computational Intelligence, 7
Subjects:
Control engineering.
Robotics.
Automation.
Artificial intelligence.
Control, Robotics, Automation.
Artificial Intelligence.
Online Access:Texto Completo
Description
Summary: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.
Physical Description:X, 354 p. online resource.
ISBN:9783540324096
ISSN:1860-9503 ;

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