In this talk we will present a new approach to deal with attributed graphs and attributed graph transformation. The approach is based on working with what we call symbolic graphs, ...
Model transformation means converting an input model available at the beginning of the transformation process to an output model. A widely used approach to model transformation us...
Both human users and crawlers face the problem of finding good start pages to explore some topic. We show how to assist in qualifying pages as start nodes by link-based ranking al...
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
—This paper describes a new approach to matching geometric structure in 2D point-sets. The novel feature is to unify the tasks of estimating transformation geometry and identifyi...