Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
In this paper we propose a radical solution to data hosting and delivery for the Internet of the future. The current data delivery architecture is "network centric", wit...
Nikolaos Laoutaris, Pablo Rodriguez, Laurent Masso...
We present a flexible GPU kernel for adaptive on-the-fly refinement of meshes with arbitrary topology. By simply reserving a small amount of GPU memory to store a set of adaptive ...
Creating long motion sequences is a time-consuming task even when motion capture equipment or motion editing tools are used. In this paper, we propose a system for creating a long...
Distributed computing (DC) projects tackle large computational problems by exploiting the donated processing power of thousands of volunteered computers, connected through the Int...
Toni Giorgino, Matt J. Harvey, Gianni De Fabritiis