This paper presents a novel algorithm for document clustering based on a combinatorial framework of the Principal Direction Divisive Partitioning (PDDP) algorithm [1] and a simpli...
Efficient and expressive comparison of sequences is an essential procedure for learning with sequential data. In this article we propose a generic framework for computation of sim...
Abstract. We present a framework for model checking concurrent software systems which incorporates both states and events. Contrary to other state/event approaches, our work also i...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
Abstract. Termination of binary CLP programs has recently become an important question in the termination analysis community. The reason for this is due to that a number of approac...