Correlation mining has gained great success in many application domains for its ability to capture underlying dependencies between objects. However, research on correlation mining ...
Identifying communities in social networks is a problem of great interest. One popular type of community is where every member of the community knows all others, which can be view...
We present the results of an empirical study of several constraint satisfaction search algorithms and heuristics. Using a random problem generator that allows us to create instanc...
In this paper we present a graph cuts based active contours (GCBAC) approach to object segmentation problems. Our method is a combination of active contours and the optimization t...
Pointer programs are a model of structured computation within logspace. They capture the common description of logspace algorithms as programs that take as input some structured d...