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UAI
2003
15 years 7 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
173
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AUTOMATICA
2005
93views more  AUTOMATICA 2005»
15 years 5 months ago
Steady-state performance evaluation of continuous mono-T-semiflow Petri nets
The number of states in discrete event systems can increase exponentially with respect to the size of the system. A way to face this state explosion problem consists of relaxing t...
Jorge Júlvez, Laura Recalde, Manuel Silva
TOG
2008
89views more  TOG 2008»
15 years 5 months ago
Continuation methods for adapting simulated skills
Modeling the large space of possible human motions requires scalable techniques. Generalizing from example motions or example controllers is one way to provide the required scalab...
KangKang Yin, Stelian Coros, Philippe Beaudoin, Mi...
CGF
2002
168views more  CGF 2002»
15 years 5 months ago
Fast Continuous Collision Detection between Rigid Bodies
This paper introduces a fast continuous collision detection technique for polyhedral rigid bodies. As opposed to most collision detection techniques, the computation of the first ...
Stephane Redon, Abderrahmane Kheddar, Sabine Coqui...
HAPTICS
2010
IEEE
15 years 10 months ago
Preliminary Experiment Combining Virtual Reality Haptic Shoes and Audio Synthesis
We describe a system that can provide combined auditory and haptic sensations that arise while walking on different grounds. The simulation is based on a physical model that drive...
Rolf Nordahl, Amir Berrezag, Smilen Dimitrov, Luca...