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JAIR
2008
93views more  JAIR 2008»
13 years 10 months ago
A Rigorously Bayesian Beam Model and an Adaptive Full Scan Model for Range Finders in Dynamic Environments
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
ICIP
2007
IEEE
14 years 4 months ago
Background Modeling Based on Subpixel Edges
We propose an approach to model the background of images in a video sequence based on subpixel edge map. This work is motivated by the observation that intensity based background ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy
WSC
2001
13 years 11 months ago
Accounting for input model and parameter uncertainty in simulation
Taking into account input-model, input-parameter, and stochastic uncertainties inherent in many simulations, our Bayesian approach to input modeling yields valid point and confide...
Faker Zouaoui, James R. Wilson
CEC
2009
IEEE
14 years 2 months ago
A novel EDAs based method for HP model protein folding
— The protein structure prediction (PSP) problem is one of the most important problems in computational biology. This paper proposes a novel Estimation of Distribution Algorithms...
Benhui Chen, Long Li, Jinglu Hu
BMCBI
2006
92views more  BMCBI 2006»
13 years 10 months ago
Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
Background: Genetic markers hold great promise for refining our ability to establish precise prognostic prediction for diseases. The development of comprehensive gene expression m...
Shigeyuki Matsui