We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Software cache-based side channel attacks present a serious threat to computer systems. Previously proposed countermeasures were either too costly for practical use or only effect...
Pushdown systems provide a natural model of software with recursive procedure calls. We provide a tool implementing an algorithm for computing the winning regions of a pushdown par...
In this paper, an approach based on the combination of discrete Hidden Markov Models (HMMs) in the ROC space is proposed to improve the performance of off-line signature verificat...
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...