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» Combining Simple Models to Approximate Complex Dynamics
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CVPR
2003
IEEE
16 years 3 hour ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
JBI
2006
105views Bioinformatics» more  JBI 2006»
14 years 10 months ago
User modeling and adaptation in health promotion dialogs with an animated character
In this paper, we describe our experience with the design and implementation of an embodied conversational agent (ECA) that converses with users in order to change their dietary b...
Fiorella de Rosis, Nicole Novielli, Valeria Carofi...
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
15 years 2 months ago
Discretization of Linear Fractional Representations of LPV systems
Abstract— Commonly, controllers for Linear ParameterVarying (LPV) systems are designed in continuous-time using a Linear Fractional Representation (LFR) of the plant. However, th...
Roland Tóth, Marco Lovera, Peter S. C. Heub...
JMLR
2010
148views more  JMLR 2010»
14 years 4 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
PE
2007
Springer
97views Optimization» more  PE 2007»
14 years 9 months ago
On processor sharing and its applications to cellular data network provisioning
To develop simple traffic engineering rules for the downlink of a cellular system using Proportional Fairness (PF) scheduling, we study the “strict” and “approximate” ins...
Yujing Wu, Carey L. Williamson, Jingxiang Luo