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UAI
1997
15 years 4 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
ICIP
2000
IEEE
16 years 4 months ago
Moving Targets in Synthetic Aperture Images: A Bayesian Approach
This paper presents a novel method to determine the complete velocity vector of a moving target using a single Synthetic Aperture Radar (SAR) sensor. The method exploits the struc...
José M. B. Dias, Paulo A. C. Marques
BMCBI
2010
229views more  BMCBI 2010»
15 years 3 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
15 years 9 months ago
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
Cheng Chen, Christopher Tay, Christian Laugier, Ka...
CVPR
2008
IEEE
15 years 4 months ago
Building reconstruction from a single DEM
We present a new approach for building reconstruction from a single Digital Elevation Model (DEM). It treats buildings as an assemblage of simple urban structures extracted from a...
Florent Lafarge, Xavier Descombes, Josiane Zerubia...