In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are ...
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...
Abstract. Graph-structured databases have numerous recent applications including the Semantic Web, biological databases and XML, among many others. In this paper, we study the main...
Jintian Deng, Byron Choi, Jianliang Xu, Sourav S. ...
While the majority of competitive image segmentation methods are based on energy minimization, only few allow to efficiently determine globally optimal solutions. A graphtheoretic...
: This paper presents a graph-coloring-based algorithm for the exam scheduling application, with the objective of achieving fairness, accuracy, and optimal exam time period. Throug...
Mohammad Malkawi, Mohammad Al-Haj Hassan, Osama Al...