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» Machine Learning in User Modeling
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ECML
2004
Springer
16 years 7 days ago
Filtered Reinforcement Learning
Reinforcement learning (RL) algorithms attempt to assign the credit for rewards to the actions that contributed to the reward. Thus far, credit assignment has been done in one of t...
Douglas Aberdeen
223
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ICIP
2007
IEEE
16 years 8 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
TNN
2010
233views Management» more  TNN 2010»
15 years 1 months ago
A hierarchical RBF online learning algorithm for real-time 3-D scanner
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
Stefano Ferrari, Francesco Bellocchio, Vincenzo Pi...
ICASSP
2011
IEEE
14 years 10 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad
SCA
2007
15 years 9 months ago
Face poser: interactive modeling of 3D facial expressions using model priors
In this paper, we present an intuitive interface for interactively posing 3D facial expressions. The user can create and edit facial expressions by drawing freeform strokes, or by...
Manfred Lau, Jinxiang Chai, Ying-Qing Xu, Heung-Ye...