Abstract. Sparse signal models learned from data are widely used in audio, image, and video restoration. They have recently been generalized to discriminative image understanding t...
Julien Mairal, Marius Leordeanu, Francis Bach, Mar...
In a data streaming setting, data points are observed one by one. The concepts to be learned from the data points may change infinitely often as the data is streaming. In this pap...
In this work we address boundary detection and boundary grouping. We first pursue a learning-based approach to boundary detection. For this (i) we leverage appearance and context...
We present POSEIDON, a new anomaly-based network intrusion detection system. POSEIDON is payload-based, and has a two-tier architecture: the first stage consists of a Self-Organi...
Damiano Bolzoni, Sandro Etalle, Pieter H. Hartel, ...
The paper deals with synthesis technique for designing circuits with cascade errors detection. The proposed technique is based on partitioning a scheme into a number of cascades f...
Ilya Levin, Vladimir Ostrovsky, Osnat Keren, Vladi...