38 citations · 43 across the 4 of their papers we have counts for
4 papers
Similarity Learning for Time Series Classification
Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard +1
Multivariate time series naturally exist in many fields, like energy, bioinformatics, signal processing, and finance. Most of these applications need to be able to compare these st…
Algorithmic Robustness for Learning via -Good Similarity Functions
Maria-Irina Nicolae, Marc Sebban, Amaury Habrard +2
The notion of metric plays a key role in machine learning problems such as classification, clustering or ranking. However, it is worth noting that there is a severe lack of theoret…
Subspace Alignment For Domain Adaptation
Basura Fernando, Amaury Habrard, Marc Sebban +1
In this paper, we introduce a new domain adaptation (DA) algorithm where the source and target domains are represented by subspaces spanned by eigenvectors. Our method seeks a doma…
Combining Feature and Prototype Pruning by Uncertainty Minimization
Marc Sebban, Richard Nock
We focus in this paper on dataset reduction techniques for use in k-nearest neighbor classification. In such a context, feature and prototype selections have always been independen…