This work advances the Support Vector Machine (SVM) based approach for predictive modelling of failure time data as proposed in [1]. The main results concern a drastic reduction in...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
Modeling the large space of possible human motions requires scalable techniques. Generalizing from example motions or example controllers is one way to provide the required scalab...
KangKang Yin, Stelian Coros, Philippe Beaudoin, Mi...
Planning in partially observable environments remains a challenging problem, despite significant recent advances in offline approximation techniques. A few online methods have a...
The advent of digital libraries along with the tremendous growth of digital content call for distributed and scalable approaches for managing vast data collections. Peer-to-peer (P...
Three-dimensional (3D) visual scenes with pluralities of graphic objects require considerable network bandwidth to be transmitted and computing power to be rendered on a user'...