Abstract--Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection perfor...
Diego Tosato, Michela Farenzena, Marco Cristani, V...
Abstract--Today's molecular biology is confronted with enormous amounts of data, generated by new high-throughput technologies, along with an increasing number of biological m...
Abstract. This paper presents the first results on AIDA/cube, algebraic and sidechannel attacks on variable number of rounds of all members of the KATAN family of block ciphers. Ou...
Gregory V. Bard, Nicolas Courtois, Jorge Nakahara,...
Multi-gigabit outdoor mesh networks operating in the unlicensed 60 GHz "millimeter (mm) wave" band, offer the possibility of a quickly deployable broadband extension of t...
Abstract--In this work, we study the problem of routing packets between undifferentiated sources and sinks in a network modeled by a multigraph. We consider a distributed and local...
Christelle Caillouet, Florian Huc, Nicolas Nisse, ...