We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
In this work we investigate an inverse geometry problem. Given a light source, a diffuse plane and a caustic image, how must a geometric object look like (transmissive or reflect...
In this paper we consider the role of digital storytelling for creative empowerment of marginalized youth, through a threeyear program of workshops conducted in the context of Pal...
We consider a model for decentralized collaborative networks that is based on stable matching theory. This model is applied to systems with a global ranking utility function, whic...
Anh-Tuan Gai, Fabien Mathieu, Fabien de Montgolfie...
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...