We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
In this paper, we propose an efficient low complexity compression scheme for densely sampled irregular 3D meshes. This scheme is based on 3D multiresolution analysis (3D Discrete ...
In this paper, we describe a system called XomatiQ to address the problem of integration, querying and correlation of biological data. XomatiQ is an integral part of the genomics ...
In this paper, we propose a new tunable index scheme, called iMinMax(), that maps points in highdimensional spaces to single-dimensional values determined by their maximum or minim...
Cui Yu, Stéphane Bressan, Beng Chin Ooi, Kian-Lee...
We present MediaBroker, a distributed framework designed to support pervasive computing applications. Specifically, we propose an architecture consisting of a transport engine and...
Martin Modahl, Ilya Bagrak, Matthew Wolenetz, Phil...