Machine Learning And Robot Perception: 7 - Rilegato

Rilegato

ISBN 10: 354026549X ISBN 13: 9783540265498

Casa editrice: Springer-Verlag New York Inc, 2005

Riassunto

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.

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Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer-Verlag New York Inc
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 354026549X
• ISBN 13: 9783540265498
• Rilegatura: Copertina rigida
• Numero di pagine: 351
• Redattore: Apolloni Bruno, Ghosh Ashish, Alpaslan Ferda, Jain L. C., Patnaik Srikanta
• Contatto del produttore: non disponibile
• Persona responsabile: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania