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» Monte Carlo Localization with Mixture Proposal Distribution
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GLOBECOM
2008
IEEE
14 years 2 months ago
Robustness Analysis of Source Localization Using Gaussianity Measure
Nowadays, the source localization has been widely applied for wireless sensor networks. The Gaussian mixture model has been adopted for maximum-likelihood (ML) source localization ...
Kun Yan, Hsiao-Chun Wu, S. S. Iyengar
ICIP
2000
IEEE
13 years 12 months ago
Wavelet-Based Image Denoising Using Hidden Markov Models
Wavelet-domain hidden Markov models (HMMs) have been recently proposed and applied to image processing, e.g., image denoising. In this paper, we develop a new HMM, called local co...
Guoliang Fan, Xiang-Gen Xia
ALMOB
2007
151views more  ALMOB 2007»
13 years 7 months ago
Local sequence alignments statistics: deviations from Gumbel statistics in the rare-event tail
Background: The optimal score for ungapped local alignments of infinitely long random sequences is known to follow a Gumbel extreme value distribution. Less is known about the imp...
Stefan Wolfsheimer, Bernd Burghardt, Alexander K. ...
ICRA
2007
IEEE
147views Robotics» more  ICRA 2007»
14 years 1 months ago
Fixed-lag Sampling Strategies for Particle Filtering SLAM
— We describe two new sampling strategies for Rao-Blackwellized particle filtering SLAM. The strategies, called fixed-lag roughening and the block proposal distribution, both e...
Kristopher R. Beevers, Wesley H. Huang
ICASSP
2011
IEEE
12 years 11 months ago
A Bernoulli-Gaussian model for gene factor analysis
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...