In this paper, we present two near-optimal methods to determine the real-time collision-free path for a mobile vehicle moving in a dynamically changing environment. The proposed de...
Jian Yang, Zhihua Qu, Jing Wang 0005, Kevin L. Con...
Abstract--In this paper, we introduce a novel approach for improved nonlinear system identification in the short-time Fourier transform (STFT) domain. We first derive explicit repr...
In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exp...
Horesh Ben Shitrit, Jerome Berclaz, Francois Fleur...
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
In this paper we propose a solution to secure interoperability between electronic ID management infrastructures enabling the provision of cross-border eServices to mobile citizens....
Franco Arcieri, Andrea Dimitri, Fabio Fioravanti, ...