Machine Learning and Robot Perception (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
354
Utgivningsdatum
2005-09-01
Upplaga
2005 ed.
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Apolloni, Bruno (ed.), Ghosh, Ashish (ed.), Alpaslan, Ferda (ed.), Jain, Lakhmi C. (ed.), Patnaik, Srikanta (ed.)
Illustrationer
4 Tables, black and white; X, 354 p.
Dimensioner
234 x 155 x 23 mm
Vikt
636 g
Antal komponenter
1
Komponenter
1 Hardback
ISBN
9783540265498
Machine Learning and Robot Perception (inbunden)

Machine Learning and Robot Perception

Inbunden Engelska, 2005-09-01
2479
Skickas inom 10-15 vardagar.
Fri frakt inom Sverige för privatpersoner.
Kan tyvärr inte längre levereras innan jul.
Finns även som
Visa alla 1 format & utgåvor
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.
Visa hela texten

Passar bra ihop

  1. Machine Learning and Robot Perception
  2. +
  3. Advances in Wireless Communications and Applications

De som köpt den här boken har ofta också köpt Advances in Wireless Communications and Applica... av Roumen Kountchev, Aniket Mahanti, Shen Chong, Srikanta Patnaik, Margarita Favorskaya (inbunden).

Köp båda 2 för 4438 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Innehållsförteckning

Learning Visual Landmarks for Mobile Robot Topological Navigation.- Foveated Vision Sensor and Image Processing - A Review.- On-line Model Learning for Mobile Manipulations.- Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot.- Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking.- 3-D Modeling of Real-World Objects Using Range and Intensity Images.- Perception for Human Motion Understanding.- Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory.