In this paper, we present research trends carried out in the Orpailleur team at loria, showing how knowledge discovery and knowledge processing may be combined. The knowledge disco...
Jean Lieber, Amedeo Napoli, Laszlo Szathmary, Yann...
Mutual Boosting is a method aimed at incorporating contextual information to augment object detection. When multiple detectors of objects and parts are trained in parallel using A...
The need to continue to work in a mobile environment raises the problem of data availability in the presence of disconnections. Our approach aiming at solving this problem is to m...
We present a compact FPGA implementation of a modular exponentiation accelerator suited for cryptographic applications. The implementation efficiently exploits the properties of m...
Data sparseness is one of the factors that degrade statistical machine translation (SMT). Existing work has shown that using morphosyntactic information is an effective solution t...