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Remi Emonet

2 accepted papers

2016

Metric Learning as Convex Combinations of Local Models With Generalization Guarantees

CVPR 2016poster

Over the past ten years, metric learning allowed the improvement of the numerous machine learning approaches that manipulate distances or similarities. In this field, local metric learning has been shown to be very efficient, especially to take into account non linearities in the data and better cap…

Cited by 19PDFScholar
2015

Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation

CVPR 2015poster

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. In this paper, we introduce a novel unsupervised DA approach based on both subspace alignment and s…

Cited by 158SourcePDFScholar