187 search results - page 22 / 38 » Hedging Uncertainty: Approximation Algorithms for Stochastic... |
IJCAI
2007
14 years 11 months ago
2007
We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
As a well known fixed-point iteration algorithm for kernel
density mode-seeking, Mean-Shift has attracted wide attention
in pattern recognition field. To date, Mean-Shift algorit...
ICRA
2006
IEEE
15 years 3 months ago
2006
IEEE
— We address the problem of placing a sensor network so as to minimize the uncertainty in estimating the position of targets. The novelty of our formulation is in the sensing mod...
ISCAS
2005
IEEE
15 years 3 months ago
2005
IEEE
— Simulated Evolution (SimE) is a sound stochastic approximation algorithm based on the principles of adaptation. If properly engineered it is possible for SimE to reach nearopti...
JMLR
2008
14 years 9 months ago
2008
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...