An improved approach for the estimation of the frequency dependent reverberation time (RT) by means of allpass transformed filterbanks is presented. It is shown that by means of ...
We present in this article a new approximation algorithm for scheduling a set of n independent rigid (meaning requiring a fixed number of processors) jobs on hierarchical parallel ...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
"Bag of words" models have enjoyed much attention and achieved good performances in recent studies of object categorization. In most of these works, local patches are mo...
COTS peripherals are heavily used in the embedded market, but their unpredictability is a threat for high-criticality real-time systems: it is hard or impossible to formally verif...
Rodolfo Pellizzoni, Patrick O'Neil Meredith, Marco...