We propose a discrete regularization framework on weighted graphs of arbitrary topology, which unifies image and mesh filtering. The approach considers the problem as a variation...
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
This paper describes a simulation tool for the analysis of complex jobs described in the form of task graphs. The simulation procedure relies on the PN-based topological represent...
Traditionally nonrecombinant genome, i.e., mtDNA or Y chromosome, has been used for phylogeography, notably for ease of analysis. The topology of the phylogeny structure in this c...
Exploring topological structure at Autonomous System (AS) level is indispensable for understanding most issues in Internet services. Previous models of AS graph involve address or ...