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» Approximate Learning of Dynamic Models
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2007
135views Robotics» more  RSS 2007»
15 years 8 months ago
Learning omnidirectional path following using dimensionality reduction
Abstract— We consider the task of omnidirectional path following for a quadruped robot: moving a four-legged robot along any arbitrary path while turning in any arbitrary manner....
J. Zico Kolter, Andrew Y. Ng
185
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ICRA
2002
IEEE
131views Robotics» more  ICRA 2002»
15 years 12 months ago
Acquisition and Embodiment of Motion Elements in Closed Mimesis Loop
It is needed for humanoid to acquire not only just a trajectory but also aim of the behavior and symbolic information during behavior development. We have proposed the mimesis sys...
Tetsunari Inamura, Iwaki Toshima, Yoshihiko Nakamu...
204
Voted
CISS
2008
IEEE
16 years 1 months ago
Appropriate control of wireless networks with flow level dynamics
Abstract— We consider the network control problem for wireless networks with flow level dynamics under the general k-hop interference model. In particular, we investigate the co...
Long Le, Ravi R. Mazumdar
ECCV
2002
Springer
16 years 9 months ago
Multimodal Data Representations with Parameterized Local Structures
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, Vis...
186
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AAAI
2010
15 years 8 months ago
Multi-Instance Dimensionality Reduction
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou