The last several decades have witnessed a vast accumulation of biological data and data analysis. Many of these data sets represent only a small fraction of the system's behav...
Avital Sadot, Jasmin Fisher, Dan Barak, Yishai Adm...
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
We present a framework for speech recognition that accounts for hidden articulatory information. We model the articulatory space using a codebook of articulatory configurations g...
In this paper, we present an automatic face authentication system. Accurate segmentation of prominent facial features is accomplished by means of an extension of the Active Shape M...
This presentation demonstrates the early results from the French ANR project RT-Simex. RT-Simex proposes a set of tools to analyze timing of parallel embedded code and trace the s...