In this paper, a multilinear formulation of the popular Principal Component Analysis (PCA) is proposed, named as multilinear PCA (MPCA), where the input can be not only vectors, b...
Anastasios N. Venetsanopoulos, Haiping Lu, Konstan...
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
Storage costs are rapidly decreasing, making it feasible to store larger amounts of data in databases. This also makes it possible to store previous versions of data in the databa...
As XML has become an emerging standard for information exchange on the World Wide Web, it has gained attention in database communities to extract information from XML seen as a dat...
Tae-Sun Chung, Sangwon Park, Sang-Yong Han, Hyoung...
Although verification and simulation tools are always improving, the results they provide remain hard to analyze and interpret. On one hand, verification sticks to the functional ...
Steve Casselman, John Schewel, Christophe Beaumont