Abstract. Oza’s Online Boosting algorithm provides a version of AdaBoost which can be trained in an online way for stationary problems. One perspective is that this enables the p...
Adam Pocock, Paraskevas Yiapanis, Jeremy Singer, M...
We present a method for editing the LOD of quad meshes, which supports both adaptive refinement and adaptive coarsening. Starting at a base mesh, we generate a quad-dominant mesh...
This paper introduces TUTW – Temporal Uncertainty Time Warp – a control engine designed for an exploitation of temporal uncertainty (TU) in general optimistic simulations, and...
The development and implementation of new network protocols and applications need accurate, scalable, reconfigurable, and inexpensive tools for debugging, testing, performance tun...
This paper describes a new approach on how to teach a robot everyday manipulation tasks under the “Learning from Observation” framework. Most of the approaches so far assume t...
Koichi Ogawara, Jun Takamatsu, Hiroshi Kimura, Kat...