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» Long term tracking using Bayesian networks
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RECOMB
2010
Springer
13 years 7 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
ICRA
2007
IEEE
197views Robotics» more  ICRA 2007»
14 years 2 months ago
Detecting and Tracking Level Sets of Scalar Fields using a Robotic Sensor Network
— We introduce an algorithm which detects and traces a specified level set of a scalar field (a contour) on a plane. A network of static sensor nodes with limited communication...
Karthik Dantu, Gaurav S. Sukhatme
MLMI
2004
Springer
14 years 1 months ago
Multistream Dynamic Bayesian Network for Meeting Segmentation
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose e...
Alfred Dielmann, Steve Renals
INFSOF
2007
139views more  INFSOF 2007»
13 years 8 months ago
Predicting software defects in varying development lifecycles using Bayesian nets
An important decision problem in many software projects is when to stop testing and release software for use. For many software products, time to market is critical and therefore ...
Norman E. Fenton, Martin Neil, William Marsh, Pete...
SGAI
2004
Springer
14 years 1 months ago
Exploiting Causal Independence in Large Bayesian Networks
The assessment of a probability distribution associated with a Bayesian network is a challenging task, even if its topology is sparse. Special probability distributions based on t...
Rasa Jurgelenaite, Peter J. F. Lucas