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» Using model knowledge for learning inverse dynamics
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133
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ICML
2007
IEEE
16 years 4 months ago
A permutation-augmented sampler for DP mixture models
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
Percy Liang, Michael I. Jordan, Benjamin Taskar
145
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RECOMB
2005
Springer
16 years 4 months ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
159
Voted
LEGE
2003
107views Education» more  LEGE 2003»
15 years 5 months ago
Design Considerations for an ELeGI Portal
ELeGI, the European Learning Grid Infrastructure, has the ambitious goal of fostering effective learning and knowledge construction through the dynamic provision of service-based ...
Colin Allison, Rosa Michaelson
ICIP
2007
IEEE
15 years 10 months ago
Group Activity Recognition Based on ARMA Shape Sequence Modeling
In this paper, we propose a system identification approach for group activity recognition in traffic surveillance. Statistical shape theory is used to extract features, and then...
Ying Wang, Kaiqi Huang, Tieniu Tan
102
Voted
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
15 years 2 months ago
HRP-2 plays the yoyo: From human to humanoid yoyo playing using optimal control
— Yoyo playing may seem easy for a human, but it is a challenging problem for a humanoid robot. This paper presents an approach to generate yoyo motions for the humanoid robot, H...
Katja Mombaur, Manish N. Sreenivasa