New opening for an Internship position: A Bayesian Networks toolkit for face recognition

The successful candidate in this internship will therefore re-design and re-implement, in C++, the structures and algorithms required to use Bayesian Networks for face recognition. If time permits, the implementation should be part of a more general framework for other Graphical Models including, for example, Markov Random Fields.

The goal is to develop a thoroughly documented and tested piece of software, integrated into the new signal-processing and machine learning toolbox, torch5spro.
This will be challenging but rewarding, as the software produced during this internship will be used by PhD and postdoctoral researchers to perform state-of-the-art face recognition experiments.

More information about the position can be found on our online recruitment system