Jordan Frécon — accepted AI-conference papers

2017

Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model

Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry

ICASSP 2017accepted

This contribution focuses, within the ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -Potts model, on the automated estimation of the regularization parameter balancing the ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="ht…

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2016

Non-linear regression for bivariate self-similarity identification - application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts

Jordan Frécon, Romain Fontugne, Gustavo Didier, Nelly Pustelnik, Kensuke Fukuda, Patrice Abry

ICASSP 2016accepted

Internet traffic monitoring is a crucial task for network security. Self-similarity, a key property for a relevant description of internet traffic statistics, has already been massively and successfully involved in anomaly detection. Self-similar analysis was however so far applied either to byte or…

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