— Estimation of network proximity among nodes is an important building block in several applications like service selection and composition, multicast tree formation, and overlay...
We present a framework for fast and accurate collision detection for haptic interaction with polygonal models. Given a model, we pre-compute a hybrid hierarchical representation, ...
Arthur D. Gregory, Ming C. Lin, Stefan Gottschalk,...
We present a fast and accurate collision detection algorithm for haptic interaction with polygonal models. Given a model, we pre-compute a hybrid hierarchical representation, cons...
Arthur D. Gregory, Ming C. Lin, Stefan Gottschalk,...
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero, Al...
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...