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JSCIC
2008
71views more  JSCIC 2008»
14 years 10 months ago
Numerical and Statistical Methods for the Coarse-Graining of Many-Particle Stochastic Systems
In this article we discuss recent work on coarse-graining methods for microscopic stochastic lattice systems. We emphasize the numerical analysis of the schemes, focusing on error ...
Markos A. Katsoulakis, Petr Plechác, Luc Re...
IJNSEC
2007
107views more  IJNSEC 2007»
14 years 10 months ago
A Rule-based Temporal Alert Correlation System
This paper reports a research work to address the problem of the large number of alerts generated by the detectors in an intrusion detection system. Some of these alerts are redun...
Peyman Kabiri, Ali A. Ghorbani
JIRS
2007
78views more  JIRS 2007»
14 years 10 months ago
Online-learning and Attention-based Approach to Obstacle Avoidance Using a Range Finder
The problem of developing local reactive obstacle-avoidance behaviors by a mobile robot through online real-time learning is considered. The robot operated in an unknown bounded 2...
Shuqing Zeng, Juyang Weng
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ICASSP
2010
IEEE
14 years 8 months ago
A hierarchical Bayesian model for frame representation
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
Lotfi Chaâri, Jean-Christophe Pesquet, Jean-...
ORL
2010
167views more  ORL 2010»
14 years 4 months ago
An embedded Markov chain approach to stock rationing
Rationing is an inventory policy that allows prioritization of demand classes. It enables the inventory system to provide higher service levels for critical demand classes. In thi...
Mehmet Murat Fadiloglu, Önder Bulut