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» Parametric Process Model Inference
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ECCV
2006
Springer
14 years 9 months ago
Smooth Image Segmentation by Nonparametric Bayesian Inference
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
Peter Orbanz, Joachim M. Buhmann
DMSN
2008
ACM
13 years 9 months ago
Probabilistic processing of interval-valued sensor data
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
Sander Evers, Maarten M. Fokkinga, Peter M. G. Ape...
ICASSP
2009
IEEE
14 years 2 months ago
Modeling and tracking of faces in real-life illumination conditions
In this paper, we address the problem of face tracking across illumination changes and occlusions. The method is based on leveraging the strengths of both Adaboost to deal with cl...
Rahul Thota, Archana Kalyansundar, Amit Kale
DSN
2011
IEEE
12 years 7 months ago
Modeling time correlation in passive network loss tomography
—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. How...
Jin Cao, Aiyou Chen, Patrick P. C. Lee
ENTCS
2007
101views more  ENTCS 2007»
13 years 7 months ago
Systems Modelling via Resources and Processes: Philosophy, Calculus, Semantics, and Logic
We describe a programme of research in resource semantics, concurrency theory, bunched logic, and stochastic processes, as applied to mathematical systems modelling. Motivated by ...
David J. Pym, Chris M. N. Tofts