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UAI
1997
15 years 2 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
96
Voted
ICIP
2000
IEEE
16 years 2 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 27 days 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
123
Voted
ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
15 years 6 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...
103
Voted
CVPR
2008
IEEE
15 years 2 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...