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» An algorithmic framework for network reconstruction
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RAID
2001
Springer
14 years 4 days ago
Probabilistic Alert Correlation
With the growing deployment of host and network intrusion detection systems, managing reports from these systems becomes critically important. We present a probabilistic approach t...
Alfonso Valdes, Keith Skinner
ICASSP
2010
IEEE
13 years 8 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
ICIP
2006
IEEE
14 years 9 months ago
Max-Min Central Vein Detection in Retinal Fundus Images
This paper describes a new framework for the automated tracking of the central retinal vein in retinal images. The procedure first computes a binary image of the retinal vasculatur...
Hind Azegrouz, Emanuele Trucco
MINENET
2005
ACM
14 years 1 months ago
Learning-based anomaly detection in BGP updates
Detecting anomalous BGP-route advertisements is crucial for improving the security and robustness of the Internet’s interdomain-routing system. In this paper, we propose an inst...
Jian Zhang, Jennifer Rexford, Joan Feigenbaum
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
14 years 1 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...