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AMS
2007
Springer
296views Robotics» more  AMS 2007»
14 years 4 months ago
Learning the Inverse Model of the Dynamics of a Robot Leg by Auto-imitation
Abstract Walking, running and hopping are based on self-stabilizing oscillatory activity. In contrast, aiming movements serve to direct a limb to a desired location and demand a qu...
Karl-Theodor Kalveram, André Seyfarth
ICMLA
2010
13 years 8 months ago
Multi-Agent Inverse Reinforcement Learning
Learning the reward function of an agent by observing its behavior is termed inverse reinforcement learning and has applications in learning from demonstration or apprenticeship l...
Sriraam Natarajan, Gautam Kunapuli, Kshitij Judah,...
ICIP
2005
IEEE
14 years 11 months ago
Inverse tensor transfer for novel view synthesis
This paper provides a new transfer based novel view synthesis method. This method does not need a pre-computed dense depth map, therefore overcomes most common problems associated...
Hongdong Li, Richard I. Hartley
VLDB
2007
ACM
104views Database» more  VLDB 2007»
14 years 10 months ago
Inverse Functions in the AquaLogic Data Services Platform
When integrating data from heterogeneous sources, it is often necessary to transform both the schemas and the data from the underlying sources in order to present the integrated d...
Nicola Onose, Vinayak R. Borkar, Michael J. Carey
IROS
2008
IEEE
137views Robotics» more  IROS 2008»
14 years 4 months ago
Avoiding negative depth in inverse depth bearing-only SLAM
Abstract— In this paper we consider ways to alleviate negative estimated depth for the inverse depth parameterisation of bearing-only SLAM. This problem, which can arise even if ...
Martin P. Parsley, Simon J. Julier