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» Modelling Smooth Paths Using Gaussian Processes
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SDM
2008
SIAM
105views Data Mining» more  SDM 2008»
14 years 11 days ago
Gaussian Process Learning for Cyber-Attack Early Warning
Network security has been a serious concern for many years. For example, firewalls often record thousands of exploit attempts on a daily basis. Network administrators could benefi...
Jian Zhang 0004, Phillip A. Porras, Johannes Ullri...
PAMI
2008
140views more  PAMI 2008»
13 years 11 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
ICIP
1999
IEEE
15 years 15 days ago
Hyperparameter Estimation for Emission Computed Tomography Data
Over the last years many statistical models have been proposed to restore tomographical images. However, their use in medical environment has been limited due to several factors. ...
Aggelos K. Katsaggelos, Antonio López, Rafa...
ASPDAC
2008
ACM
200views Hardware» more  ASPDAC 2008»
14 years 29 days ago
Non-Gaussian statistical timing analysis using second-order polynomial fitting
In the nanometer manufacturing region, process variation causes significant uncertainty for circuit performance verification. Statistical static timing analysis (SSTA) is thus dev...
Lerong Cheng, Jinjun Xiong, Lei He
ICASSP
2011
IEEE
13 years 2 months ago
Predictive modeling of the spatiotemporal evolution of an environmental hazard and its sensor network implementation
Predicting accurately the spatiotemporal evolution of a diffusive environmental hazard is of paramount importance for its effective containment. We approximate the front line of a...
Dimitris V. Manatakis, Elias S. Manolakos