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IJRR
2008
139views more  IJRR 2008»
14 years 9 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
14 years 8 months ago
Learning to navigate through crowded environments
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
Peter Henry, Christian Vollmer, Brian Ferris, Diet...
ICCV
2007
IEEE
15 years 11 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
CVPR
2007
IEEE
15 years 12 months ago
Learning Object Material Categories via Pairwise Discriminant Analysis
In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...
Zhouyu Fu, Antonio Robles-Kelly
IJCNN
2008
IEEE
15 years 4 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...