While large volumes of unlabeled data are usually available, associated
...
Wasserstein distance (WD) and the associated optimal transport plan have...
It has been shown beneficial for many types of data which present an
und...
This paper addresses the problem of Unbalanced Optimal Transport (UOT) i...
In this work we address the problem of comparing time series while takin...
Recently used in various machine learning contexts, the Gromov-Wasserste...
Optimal transport has recently gained a lot of interest in the machine
l...
Geographic object-based image analysis (GEOBIA) framework has gained
inc...
Nowadays, hyperspectral image classification widely copes with spatial
i...
Tree kernels have demonstrated their ability to deal with hierarchical d...