In this paper, we consider the problem of inferring per node loss rates from passive end-to-end measurements in wireless sensor networks. Specifically, we consider the case of in...
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
In this paper, we consider the problem of energy balanced data propagation in wireless sensor networks and we generalise previous works by allowing realistic energy assignment. A n...
The military is working on embedding sensors in a "smart uniform" that will monitor key biological parameters to determine the physiological status of a soldier. The sol...
Nesime Tatbul, Mark Buller, Reed Hoyt, Steve Mulle...
Research in sensor networks, continuous queries (CQ), and other domains has been motivated by powerful applications that aim to aggregate, assimilate, and interact with scores of ...
Jonathan Ledlie, Jeffrey Shneidman, Matt Welsh, Me...