Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Management of large data repositories integrated into the Grid poses new challenges for Grid research. There already exist several successful Data Grid projects addressing process...
Bernhard Fiser, Umut Onan, Ibrahim Elsayed, Peter ...
Security in the access to web contents and the interaction with web sites is becoming one of the most important issues in Internet. Servers need to provide certain levels of secur...
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...