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NIPS
2003
13 years 9 months ago
All learning is Local: Multi-agent Learning in Global Reward Games
In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and efï¬...
Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
CDC
2010
IEEE
138views Control Systems» more  CDC 2010»
13 years 2 months ago
Design of a navigation filter by analysis of local observability
This paper presents an inertial navigation filter designed for an automotive vehicle not equipped with any GPS receiver. The task of this filter is to provide relative position inf...
Pierre-Jean Bristeau, Nicolas Petit, Laurent Praly
PAM
2012
Springer
12 years 3 months ago
A Longitudinal Characterization of Local and Global BitTorrent Workload Dynamics
Abstract. Workload characterization is important for understanding how systems and services are used in practice and to help identify design improvements. To better understand the ...
Niklas Carlsson, György Dán, Anirban M...
ICIP
2007
IEEE
14 years 9 months ago
Globally Optimal Multimodal Rigid Registration: An Analytic Solution using Edge Information
Current multimodal registration methods almost always rely on local gradient-descent type optimization strategies. Such registration methods often converge to an incorrect local o...
Jeff Orchard
ICB
2009
Springer
173views Biometrics» more  ICB 2009»
13 years 5 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel