Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
In this paper, a State-Based Dynamic Transportation Network (SBDTN) model is presented, which can be used to describe the spatiotemporal aspect of temporally variable transportatio...
Network traffic can be represented by a Traffic Dispersion Graph (TDG) that contains an edge between two nodes that send a particular type of traffic (e.g., DNS) to one another. T...
Marios Iliofotou, Michalis Faloutsos, Michael Mitz...
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...