We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
— We target M-ary data sequence estimation over time-variant frequency selective fading channels subject to cochannel interference (CCI). A novel joint reduced state sequence est...
This study addresses the general problem of efficient resource management in wireless networks with arbitrary timevarying topologies. Communication channels are assumed to generall...
—This paper presents an alternative formulation for the Bayesian feature-based simultaneous localisation and mapping (SLAM) problem, using a random finite set approach. For a fe...
John Mullane, Ba-Ngu Vo, Martin David Adams, Wijer...
Abstract We present low-overhead protocols for disseminating streaming data in an interimistic environment in which the availability of computers, networks, and other resources is ...