We propose a modified discrete HMM that includes a feature weighting discrimination component. We assume that the feature space is partitioned into subspaces and that the relevan...
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
This paper studies the problem of resource discovery in unstructured peer-to-peer (P2P) systems. We propose simple policies that make the discovery of resources resilient to coord...
Abstract. In this paper we investigate automated methods for externalizing internal memory data structures. We consider a class of balanced trees that we call weight-balanced parti...
Pankaj K. Agarwal, Lars Arge, Octavian Procopiuc, ...
Abstract. In this paper, we present self-avoiding walks as a novel technique to linearize" a triangular mesh. Unlike space- lling curves which are based on a geometric embeddi...