Publications

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We address the classical problem of hierarchical clustering, but in a framework where one does not have access to a representation of …

We consider the problem of classification in a comparison-based setting: given a set of objects, we only have access to triplet …

We are interested in the computation of the transport map of an Optimal Transport problem. Most of the computational approaches of …

We are interested in supervised metric learning of Mahalanobis like distances. Existing approaches mainly focus on learning a new …

We consider the problem of transferring some a priori knowledge in the context of supervised metric learning approaches. While this …

Having perceptual differences between scene colors is key in many computer vision applications such as image segmentation or visual …

It has been shown in (Angluin and Becerra-Bonache, 2010, 2011) that interactions between a learner and a teacher can help language …