With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
The Correlation Clustering problem, also known as the Cluster Editing problem, seeks to edit a given graph by adding and deleting edges to obtain a collection of disconnected cliq...
Hans L. Bodlaender, Michael R. Fellows, Pinar Hegg...
Energy-minimizing active contour models (snakes) have been proposed for solving many computer vision problems such as object segmentation, surface reconstruction, and object track...
In this paper we consider the problem of using disk blocks efficiently in searching graphs that are too large to fit in internal memory. Our model allows a vertex to be represented...
Mark H. Nodine, Michael T. Goodrich, Jeffrey Scott...
Abstract. A fundamental problem in computational biology is the determination of the correct species tree for a set of taxa given a set of possibly contradictory gene trees. In rec...
Michael R. Fellows, Michael T. Hallett, Ulrike Ste...