Следене
Maxime Chaveroche
Maxime Chaveroche
Heudiasyc, joint research unit CNRS-UTC 7253, Alliance Sorbonne Universités
Потвърден имейл адрес: expleogroup.com
Заглавие
Позовавания
Позовавания
Година
Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory
M Chaveroche, F Davoine, V Cherfaoui
Information Sciences 555, 215-235, 2021
112021
Efficient Möbius transformations and their applications to DS theory
M Chaveroche, F Davoine, V Cherfaoui
Scalable Uncertainty Management: 13th International Conference, SUM 2019 …, 2019
112019
A variational time series feature extractor for action prediction
M Chaveroche, A Malaisé, F Colas, F Charpillet, S Ivaldi
arXiv preprint arXiv:1807.02350, 2018
92018
Prediction of human whole-body movements with ae-promps
O Dermy, M Chaveroche, F Colas, F Charpillet, S Ivaldi
2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids …, 2018
82018
Calcul exact de faible complexité des décompositions conjonctive et disjonctive pour la fusion d'information.
M Chaveroche, F Davoine, V Cherfaoui
XXVIIème Colloque francophonede traitement du signal et des images (GRETSI 2019), 2019
72019
Efficient decentralized collaborative perception for autonomous vehicles
M Chaveroche
Compiègne, 2021
12021
Efficient exact computation of the conjunctive and disjunctive decompositions of DS Theory for information fusion: Translation and extension
M Chaveroche, F Davoine, V Cherfaoui
arXiv preprint arXiv:2107.06329, 2021
12021
Decentralized cooperative perception for autonomous vehicles: Learning to value the unknown
M Chaveroche, F Davoine, V Cherfaoui
arXiv preprint arXiv:2301.01250, 2022
2022
Efficient M\" obius Transformations and their applications to Dempster-Shafer Theory: Clarification and implementation
M Chaveroche, F Davoine, V Cherfaoui
arXiv preprint arXiv:2107.07359, 2021
2021
Thèse présentée pour l’obtention du grade de Docteur de l’UTC
M CHAVEROCHE
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–10