The emergence of new modalities such as Diusion Tensor Imaging (DTI) is of great interest for the characterization and the temporal study of Multiple Sclerosis (MS). DTI indeed giv...
Olivier Commowick, Pierre Fillard, Olivier Clatz...
With deep-sub-micron (DSM) technology, statistical timing analysis becomes increasingly crucial to characterize signal transmission over global interconnect wires. In this paper, ...
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Mobile interaction can potentially be enhanced with welldesigned haptic control and display. However, advances have been limited by a vicious cycle whereby inadequate haptic techn...