We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
The aim of this paper is to propose tools for statistical analysis of shape families using morphological operators. Given a series of shape families (or shape categories), the appr...
In this paper, we explore experimentally the use of the commute time of the continuous-time quantum walk for graph drawing. For the classical random walk, the commute time has bee...
— A methodology is proposed to reduce power/ground and substrate coupling noise by randomizing the clock signal. A pseudo-random number generation algorithm is used to produce a ...
– This paper addresses an efficient concurrent fault detection scheme for the SBox hardware implementation of the AES algorithm. Concurrent fault detection is important not only ...
Giorgio Di Natale, Marie-Lise Flottes, Bruno Rouze...