In this paper, we first generalize a recent statistical color image segmentation algorithm [5] to arbitrary graphs, and report its performance for 2D images, 3D meshes and volume...
Contextual Graphs are a context-based formalism used in various real-world applications. They allow a uniform representation of elements of reasoning and of contexts for describing...
The matching of hierarchical relational structures is of significant interest in computer vision and pattern recognition. We have recently introduced a new solution to this proble...
The vast majority of earlier work has focused on graphs which are both connected (typically by ignoring all but the giant connected component), and unweighted. Here we study numer...
We study the fundamental problem of computing distances between nodes in large graphs such as the web graph and social networks. Our objective is to be able to answer distance que...
Atish Das Sarma, Sreenivas Gollapudi, Marc Najork,...