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» A Novel Monte Carlo Noise Reduction Operator
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JFR
2008
103views more  JFR 2008»
14 years 9 months ago
Monte Carlo localization in outdoor terrains using multilevel surface maps
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
Rainer Kümmerle, Rudolph Triebel, Patrick Pfa...
ICCD
2007
IEEE
322views Hardware» more  ICCD 2007»
15 years 6 months ago
Voltage drop reduction for on-chip power delivery considering leakage current variations
In this paper, we propose a novel on-chip voltage drop reduction technique for on-chip power delivery networks of VLSI systems in the presence of variational leakage current sourc...
Jeffrey Fan, Ning Mi, Sheldon X.-D. Tan
DATE
2007
IEEE
118views Hardware» more  DATE 2007»
15 years 3 months ago
Statistical model order reduction for interconnect circuits considering spatial correlations
In this paper, we propose a novel statistical model order reduction technique, called statistical spectrum model order reduction (SSMOR) method, which considers both intra-die and...
Jeffrey Fan, Ning Mi, Sheldon X.-D. Tan, Yici Cai,...
JMLR
2006
143views more  JMLR 2006»
14 years 9 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos
NIPS
2007
14 years 11 months ago
Bayesian Agglomerative Clustering with Coalescents
We introduce a new Bayesian model for hierarchical clustering based on a prior over trees called Kingman’s coalescent. We develop novel greedy and sequential Monte Carlo inferen...
Yee Whye Teh, Hal Daumé III, Daniel M. Roy