This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
The paper studies the impact of several lock manager designs on the overhead imposed to a persistent programming language by automated object locking. Our study reveals that a loc...
Minkowski-sum cost model indicates that balanced data partitioning is not beneficial for high dimensional data. Thus we study several unbalanced partitioning methods and propose ...
Nowadays, many state-of-the-art user interfaces to complexly structured data collections require appropriate information visualization methods. With the increase in graphics perfo...
Thomas Risse, Martin Leissler, Matthias Hemmje, Ka...