In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
We present a new iterative algorithm for ontology mapping where we combine standard string distance metrics with a structural similarity measure that is based on a vector represent...
We describe our computer-supported framework to overcome the rule of metadata schism. It combines the use of controlled vocabularies, managed by a data category registry, with a c...
Daan Broeder, Marc Kemps-Snijders, Dieter Van Uytv...
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
The presence of XML in many recent hypermedia management tools and methods (W3I3, SMIL, etc.) shows better than ever that both structural and textual criteria will continue to pla...
Jacques Le Maitre, Yves Marcoux, Elisabeth Murisas...