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
Other Authors: Apolloni, Bruno (Publishing director), Ghosh, Ashish, 1966- (Publishing director), Alpaslan, Ferda (Publishing director), Patnaik, Srikanta (Publishing director)
Format: Livre numérique
Language:Anglais
Published: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Series:Studies in Computational Intelligence 7
Online Access:Accès sur la plateforme de l'éditeur
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Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Machine Learning and Robot Perception, Texte imprimé, 9783540265498
• Machine Learning and Robot Perception, Texte imprimé, 9783642065866
• Machine Learning and Robot Perception, Texte imprimé, 9783540812395
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.
Item Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540324096
ISSN:1860-9503
Access:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017