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» Learning nonlinear dynamic models
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NIPS
2004
13 years 9 months ago
Unsupervised Variational Bayesian Learning of Nonlinear Models
In this paper we present a framework for using multi-layer perceptron (MLP) networks in nonlinear generative models trained by variational Bayesian learning. The nonlinearity is h...
Antti Honkela, Harri Valpola
MHCI
2004
Springer
14 years 1 months ago
Dynamic Primitives for Gestural Interaction
We describe the implementation of an interaction technique which allows users to store and retrieve information and computational functionality on different parts of their body. W...
Steven Strachan, Roderick Murray-Smith, Ian Oakley...
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 2 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
ICMENS
2005
IEEE
120views Hardware» more  ICMENS 2005»
14 years 2 months ago
Nonlinear Dynamics in Nanomechanical Oscillators
Abstract— In the present work we investigate nonlinear dynamics in a nanomechanical doubly clamped beam made of PdAu fabricated using bulk nanomachining and e-beam lithography. T...
Stav Zaitsev, Ronen Almog, Oleg Shtempluck, Eyal B...
PAMI
2008
140views more  PAMI 2008»
13 years 8 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...