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» Learning locally minimax optimal Bayesian networks
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IJCAI
2007
14 years 11 months ago
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...
91
Voted
UAI
2000
14 years 10 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
88
Voted
IEEECIT
2010
IEEE
14 years 8 months ago
A Learning Spectrum Hole Prediction Model for Cognitive Radio Systems
—In this paper, we present a new spectrum-hole prediction model for cognitive radio (CR) systems based on the IEEE 802.11 wireless local areas networks. We have also analyzed the...
Zhigang Wen, Chunxiao Fan, Xiaoying Zhang, Yuexin ...
80
Voted
RECOMB
2003
Springer
15 years 9 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
AMFG
2003
IEEE
148views Biometrics» more  AMFG 2003»
15 years 2 months ago
Multi-Modal Face Tracking Using Bayesian Network
This paper presents a Bayesian network based multimodal fusion method for robust and real-time face tracking. The Bayesian network integrates a prior of second order system dynami...
Fang Liu, Xueyin Lin, Stan Z. Li, Yuanchun Shi