Distance Measure Machines

Autor: Rakotomamonjy, Alain, Traoré, Abraham, Berar, Maxime, Flamary, Rémi, Courty, Nicolas

This paper presents a distance-based discriminative framework for learning with probability distributions. Instead of using kernel mean embeddings or generalized radial basis kernels, we introduce embeddings based on dissimilarity of distributions to

Externí odkaz: http://arxiv.org/abs/1803.00250

The Belahourou granite pluton (Djibo greenstone belt, Burkina Faso): Emplacement mechanism and implication for gold mineralization along a shear zone

Autor: Sawadogo, Sâga, Naba, Séta, Ilboudo, Hermann, Traoré, Abraham Seydoux, Nakolendoussé, Samuel, Lompo, Martin

Publikováno v: In Journal of African Earth Sciences December 2018 148:59-68

Randomshot, a fast nonnegative Tucker factorization approach

Autor: Traoré, Abraham, Berar, Maxime, Rakotomamonjy, Alain

Nonnegative Tucker decomposition is a powerful tool for the extraction of nonnegative and meaningful latent components from a positive multidimensional data (or tensor) while preserving the natural multilinear structure. However, as a tensor data has

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8efd08dd91ece42f01afd82a980e0dcd
https://hal.archives-ouvertes.fr/hal-02288293/document

Non-Negative Tensor Dictionary Learning

Autor: Traoré, Abraham, Berar, Maxime, Rakotomamonjy, Alain

Publikováno v: Proceedings of European Symposium on Artificial Neural Networks
European Symposium on Artificial Neural Networks
European Symposium on Artificial Neural Networks, 2018, Bruges, Belgium

International audience; A challenge faced by dictionary learning and non-negative matrix factorization is to efficiently model, in a context of feature learning, temporal patterns for data presenting sequential (two-dimensional) structure such as spe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c793c61607d63d09c85702bc0128935a
https://hal.archives-ouvertes.fr/hal-01721396

Contribution to multimodal data processing with applications to dictionary learning and large-scale decomposition

Autor: Traoré, Abraham

In this work, we are interested in special mathematical tools called tensors, that are multidimensional arrays defined on tensor product of some vector spaces, each of which has its own coordinate system and the number of spaces involved in this prod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::c9f8b30e950b35197274c533326e092e
https://theses.hal.science/tel-02415573