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» Approximate Learning of Dynamic Models
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PAMI
2006
233views more  PAMI 2006»
15 years 1 months ago
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
This paper sets out a tracking framework, which is applied to the recovery of threedimensional hand motion from an image sequence. The method handles the issues of initialization,...
Björn Stenger, Arasanathan Thayananthan, Phil...
CDC
2009
IEEE
112views Control Systems» more  CDC 2009»
15 years 5 months ago
A convex approximation for parameter estimation involving parameter-affine dynamic models
Julian Bonilla Alarcon, Moritz Diehl, Filip Logist...
WSC
2007
15 years 4 months ago
The optimizing-simulator: merging simulation and optimization using approximate dynamic programming
There has long been a competition between simulation and optimization in the modeling of problems in transportation and logistics, machine scheduling and similar highdimensional p...
Warren B. Powell
ICPR
2008
IEEE
16 years 3 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
ICML
2008
IEEE
16 years 2 months ago
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning
We show that linear value-function approximation is equivalent to a form of linear model approximation. We then derive a relationship between the model-approximation error and the...
Ronald Parr, Lihong Li, Gavin Taylor, Christopher ...