The aim of this paper is a comprehensive presentation of the geometrical tools which are necessary to prove the correctness of several up to date algorithms with intrinsic complex...
Bernd Bank, Marc Giusti, Joos Heintz, Mohab Safey ...
We address the problem of estimating discrete variables in a class of deterministic transition systems in which the continuous variables are available for measurement. We propose ...
Domitilla Del Vecchio, Richard M. Murray, Eric Kla...
Since 1996, some models of recursive functions over the real numbers have been analyzed by several researchers. It could be expected that they exhibit a computational power much g...
The difficulty to compare network simulators is a major obstacle to the broader adoption of these tools. This problem particularly affects 802.11 simulators because the 802.11 prot...
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...