A flexible method to store XML documents in relational or object-relational databases is presented that is based on an adaptable fragmentation. Whereas most known approaches decom...
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Online Analytical Processing is a powerful framework for the analysis of organizational data. OLAP is often supported by a logical structure known as a data cube, a multidimension...
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chapl...
Abstract. Assessing the matching error rates of a biometric identification devices is integral to understanding its performance. Here we propose and evaluate several methods for cr...