In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
If outdoor positioning is widely treated and quite precise, indoor or more generally in heterogeneous environment, the positioning (and also mobility prediction) requires conseque...
Frederic Lassabe, Philippe Canalda, Pascal Chatonn...
d abstract Philip M. Long Apostol I. Natsevy Je rey Scott Vittery We consider re-representing the alphabet so that a representation of a character re ects its properties as a pr...
Philip M. Long, Apostol Natsev, Jeffrey Scott Vitt...
One of the factors holding back the application of multiagent, distributed approaches to large-scale sensor interpretation and diagnosis problems is the lack of good techniques fo...
Abstract—We focus on resource allocation for energy harvesting devices. We analytically and numerically evaluate the performance of algorithms that determine time fair energy all...