We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
In the field of detection and monitoring of dynamic objects in quasi-static scenes, background subtraction techniques where background is modeled at pixel-level, although showing ...
Networking Named Content (NNC) was recently proposed as a new networking paradigm to realise Content Centric Networks (CCNs). The new paradigm changes much about the current Intern...
Ioannis Psaras, Richard G. Clegg, Raul Landa, Wei ...
We describe an approach to elastically scale the performance of a data analytics operator that is part of a streaming application. Our techniques focus on dynamically adjusting th...
Scott Schneider, Henrique Andrade, Bugra Gedik, Al...
This work considers the problem of prioritizing the inbound TCP traffic of an organization network. The objective is to allocate dynamically a specific share of the incoming link ...