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146
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IBPRIA
2005
Springer
15 years 9 months ago
Probabilistic Image-Based Tracking: Improving Particle Filtering
Condensation is a widely-used tracking algorithm based on particle filters. Although some results have been achieved, it has several unpleasant behaviours. In this paper, we highl...
Daniel Rowe, Ignasi Rius, Jordi Gonzàlez, F...
IBPRIA
2003
Springer
15 years 9 months ago
A Probabilistic Model for the Cooperative Modular Neural Network
Abstract. This paper presents a model for the probability of correct classification for the Cooperative Modular Neural Network (CMNN). The model enables the estimation of the perf...
Luís A. Alexandre, Aurélio C. Campil...
144
Voted
IJAR
2002
93views more  IJAR 2002»
15 years 3 months ago
Troubleshooting using probabilistic networks and value of information
We develop a decision-theoretic method that yields approximate, low cost troubleshooting plans by making more relevant observations and devoting more time to generate a plan. The ...
Korhan Gökçay, Taner Bilgiç
CVPR
2006
IEEE
16 years 6 months ago
Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment
Automatic polyp detection is an increasingly important task in medical imaging with virtual colonoscopy [15] being widely used. In this paper, we present a 3D object detection alg...
Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian B...
ECML
2007
Springer
15 years 10 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou