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» Bayesian inference in estimation of distribution algorithms
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IJCV
2000
93views more  IJCV 2000»
13 years 7 months ago
How Optimal Depth Cue Integration Depends on the Task
Bayesian parameter estimation can be used to generate statistically optimal solutions to the problem of cue integration. However, the complexity and dimensionality of these solutio...
Paul R. Schrater, Daniel Kersten
IBERAMIA
2004
Springer
14 years 1 months ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
BMCBI
2010
142views more  BMCBI 2010»
13 years 8 months ago
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Background: Likelihood-based phylogenetic inference is generally considered to be the most reliable classification method for unknown sequences. However, traditional likelihood-ba...
Frederick A. Matsen III, Robin B. Kodner, E. Virgi...
IPPS
2008
IEEE
14 years 2 months ago
Junction tree decomposition for parallel exact inference
We present a junction tree decomposition based algorithm for parallel exact inference. This is a novel parallel exact inference method for evidence propagation in an arbitrary jun...
Yinglong Xia, Viktor K. Prasanna
ICASSP
2009
IEEE
13 years 5 months ago
Robust Bayesian tracking on Riemannian manifolds via fragments-based representation
Recently, the covariance region descriptor [1] has been proved robust and versatile for a modest computational cost. It enables efficient fusion of different types of features. Ba...
Yi Wu, Jinqiao Wang, Hanqing Lu