Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
The result of a distance join operation on two sets of objects R, S on a spatial network G is a set P of object pairs <p, q>, p R, q S such that the distance of an object ...
This demonstration presents FlexPref, a framework implemented inside the DBMS query processor that enables efficient and extensible preference query processing. FlexPref provides ...
Justin J. Levandoski, Mohamed F. Mokbel, Mohamed E...
In this paper we determine the optimal fraction c of the uplink channel capacity that should be dedicated to the contention channel in a DOCSIS cable network in order to minimize ...
We consider the problem of distributed classification of multiple observations of the same object that are collected in an ad-hoc network of vision sensors. Assuming that each sen...