Bayes in Grenoble is a new reading group on Bayesian statistical methods held at Inria, Montbonnot. The purpose of this group is to gather the Grenoble Bayesian community on a monthly basis around noteworthy papers. Those can equally focus on theory, methods, learning, applications, computations, etc, and can be seminal papers as well as recent preprints, as soon as they relate to Bayes.

The sessions take place during lunch time and last two hours: the presentation is followed by an informal moment where participants will enjoy cocktails and snacks offered by the Grenoble Alpes Data Institute.

The reading group is organised by Julyan Arbel and Florence Forbes. Feel free to contact them if you wish to attend/be added to the mailing list and/or give a talk. https://sites.google.com/view/bigseminar/accueil

11 December 2017, Hongliang Lü (Inria)

Nonparametric Bayesian Image Segmentation

Hongliang will present the paper Nonparametric Bayesian Image Segmentation. P Orbanz and JM Buhmann. International Journal of Computer Vision (IJCV), Vol. 77, 25-45, 2008. The paper and the associated (matlab) code can be found here: [PDF] [Journal] [Code]