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BMCBI
2010
101views more  BMCBI 2010»
13 years 7 months ago
Detection of copy number variation from array intensity and sequencing read depth using a stepwise Bayesian model
Background: Copy number variants (CNVs) have been demonstrated to occur at a high frequency and are now widely believed to make a significant contribution to the phenotypic variat...
Zhengdong D. Zhang, Mark B. Gerstein
NOMS
2010
IEEE
222views Communications» more  NOMS 2010»
13 years 6 months ago
Bayesian decision aggregation in collaborative intrusion detection networks
—Cooperation between intrusion detection systems (IDSs) allows collective information and experience from a network of IDSs to be shared to improve the accuracy of detection. A c...
Carol J. Fung, Quanyan Zhu, Raouf Boutaba, Tamer B...
ICASSP
2011
IEEE
12 years 11 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
ICASSP
2008
IEEE
14 years 2 months ago
Abnormal event detection based on trajectory clustering by 2-depth greedy search
Clustering-based approaches for abnormal video event detection have been proven to be effective in the recent literature. Based on the framework proposed in our previous work [1],...
Fan Jiang, Ying Wu, Aggelos K. Katsaggelos
NIPS
2004
13 years 9 months ago
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
Jian Zhang 0003, Zoubin Ghahramani, Yiming Yang