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» Uncertainty Reduction Using Dynamics
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109
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WOSS
2004
ACM
15 years 6 months ago
Self-managed decentralised systems using K-components and collaborative reinforcement learning
Components in a decentralised system are faced with uncertainty as how to best adapt to a changing environment to maintain or optimise system performance. How can individual compo...
Jim Dowling, Vinny Cahill
105
Voted
ECAI
2004
Springer
15 years 6 months ago
Using Spatio-Temporal Continuity Constraints to Enhance Visual Tracking of Moving Objects
We present a framework for annotating dynamic scenes involving occlusion and other uncertainties. Our system comprises an object tracker, an object classifier and an algorithm for...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
104
Voted
AVSS
2009
IEEE
15 years 7 months ago
Combination of Roadside and In-vehicle Sensors for Extensive Visibility Range Monitoring
—Fog is a local meteorological phenomena which drastically reduces the visibility range. Fog detection and visibility range estimation are critical tasks for road operators who n...
Nicolas Hautière, Abderrahmane Boubezoul
92
Voted
TACAS
2007
Springer
92views Algorithms» more  TACAS 2007»
15 years 6 months ago
Model Checking Liveness Properties of Genetic Regulatory Networks
Abstract. Recent studies have demonstrated the possibility to build genetic regulatory networks that confer a desired behavior to a living organism. However, the design of these ne...
Grégory Batt, Calin Belta, Ron Weiss
141
Voted
TIM
2010
144views Education» more  TIM 2010»
14 years 7 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta