Abstract Ontology alignment is an important task for information integration systems that can make different resources, described by various and heterogeneous ontologies, interoper...
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...
Modern digital libraries require user-friendly and yet responsive access to the rapidly growing, heterogeneous, and distributed collection of information sources. However, the inc...
We address how to write programs for distributed computing systems in which the network topology can change dynamically. Examples of such systems, which we call ensembles, include ...
Michael P. Ashley-Rollman, Peter Lee, Seth Copen G...