Metric Learning as Convex Combinations of Local Models With Generalization Guarantees

no code implementations • CVPR 2016 • Valentina Zantedeschi, Remi Emonet, Marc Sebban

Over the past ten years, metric learning allowed the improvement of the numerous machine learning approaches that manipulate distances or similarities.

Metric Learning regression

Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation

no code implementations • CVPR 2015 • Rahaf Aljundi, Remi Emonet, Damien Muselet, Marc Sebban

Domain adaptation (DA) has gained a lot of success in the recent years in computer vision to deal with situations where the learning process has to transfer knowledge from a source to a target domain.

Unsupervised Domain Adaptation