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» On the Error Parameter of Dispersers
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HAPTICS
2009
IEEE
15 years 10 months ago
Computationally efficient techniques for data-driven haptic rendering
Data-driven haptic rendering requires processing of raw recorded signals, which leads to high computational effort for large datasets. To achieve real-time performance, one possib...
Raphael Höver, Massimiliano Di Luca, Gá...
JCB
2006
185views more  JCB 2006»
15 years 6 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
ICRA
2010
IEEE
149views Robotics» more  ICRA 2010»
15 years 4 months ago
A simple learning strategy for high-speed quadrocopter multi-flips
— We describe a simple and intuitive policy gradient method for improving parametrized quadrocopter multi-flips by combining iterative experiments with information from a first...
Sergei Lupashin, Angela Schöllig, Michael She...
INTERSPEECH
2010
15 years 1 months ago
Unscented transform with online distortion estimation for HMM adaptation
In this paper, we propose to improve our previously developed method for joint compensation of additive and convolutive distortions (JAC) applied to model adaptation. The improvem...
Jinyu Li, Dong Yu, Yifan Gong, L. Deng
CORR
2012
Springer
198views Education» more  CORR 2012»
14 years 2 months ago
Lipschitz Parametrization of Probabilistic Graphical Models
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the ￿p-norm of the parameters. We discuss several implications ...
Jean Honorio