Apprentissage de modèles de formes parcimonieux basés sur des représentations splines

Autor: Amate, Laure

Il est souvent important de trouver une représentation compacte des propriétés morphologiques d'un ensemble d'objets. C'est le cas lors du déplacement de robots autonomes dans des environnements naturels, qui doivent utiliser les objets dispersé

Externí odkaz: http://tel.archives-ouvertes.fr/tel-00456612
http://tel.archives-ouvertes.fr/docs/00/45/66/12/PDF/these.pdf

Managing Multiple Hypotheses with Agents to Handle Incomplete and Uncertain Data

Autor: Vettier, Benoît, Amate, Laure, Garbay, Catherine, Fontecave-Jallon, Julie, Baconnier, Pierre

Publikováno v: Proceedings of the workshop on Uncertainty Reasoning and Multi-Agent Systems for Sensor Networks
URMASSN'11-First workshop on Uncertainty Reasoning and Multi-Agent Systems for Sensor Networks
URMASSN'11-First workshop on Uncertainty Reasoning and Multi-Agent Systems for Sensor Networks, Jun 2011, Belfast, Northern Ireland, United Kingdom. 12p

First presenter; International audience; In this paper, we study health monitoring, using ambulatory sensors, where the data available are limited, and can be both unreliable and ambiguous. Hence, the need to consider a person's context: surrounding

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4b794a92f54248bbffcfdb4a0f57c62d
https://hal.archives-ouvertes.fr/hal-00742112

Sparse Model Fitting in Nested Families: Bayesian Approach vs Penalized Likelihood

Autor: Amate, Laure, Rendas, Joao

Publication in the conference proceedings of EUSIPCO, Glasgow, Scotland, 2009

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04a2238fa2c36f4ada5bd9a847e0cdb5