Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Dellenbach, Pierre"'
Multi-beam LiDAR sensors are increasingly used in robotics, particularly with autonomous cars for localization and perception tasks, both relying on the ability to build a precise map of the environment. For this, we propose a new real-time LiDAR-onl
Externí odkaz:
http://arxiv.org/abs/2109.12979
With the democratization of 3D LiDAR sensors, precise LiDAR odometries and SLAM are in high demand. New methods regularly appear, proposing solutions ranging from small variations in classical algorithms to radically new paradigms based on deep learn
Externí odkaz:
http://arxiv.org/abs/2103.09708
The amount of personal data collected in our everyday interactions with connected devices offers great opportunities for innovative services fueled by machine learning, as well as raises serious concerns for the privacy of individuals. In this paper,
Externí odkaz:
http://arxiv.org/abs/1803.09984
Multi-beam LiDAR sensors are increasingly used in robotics, particularly with autonomous cars for localization and perception tasks, both relying on the ability to build a precise map of the environment. For this, we propose a new real-time LiDAR-onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dec1587a50e4240bc20b5e94568736a
http://arxiv.org/abs/2109.12979
http://arxiv.org/abs/2109.12979
This work was realised in the context of the PhD thesis of Pierre Dellenbach, financed by Kitware (https://www.kitware.fr/equipe-vision-par-odinateur/), under the supervision of Bastien Jacquet (Kitware), Jean-Emmanuel Deschaud and Fran\c{c}ois Goule
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::839485a17d7c46e42a4e6d0785a2a494
https://hal-mines-paristech.archives-ouvertes.fr/hal-03203388
https://hal-mines-paristech.archives-ouvertes.fr/hal-03203388
Publikováno v:
NIPS 2016 workshop on Private Multi-Party Machine Learning
NIPS 2016 workshop on Private Multi-Party Machine Learning, Dec 2016, Barcelone, Spain
NIPS 2016 workshop on Private Multi-Party Machine Learning, Dec 2016, Barcelone, Spain
International audience; We propose a decentralized protocol for a large set of users to privately compute averages over their joint data, which can later be used to learn more complex models. Our protocol can find a solution of arbitrary accuracy, do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d666aa63efe7902d7a485a72e36a8686
https://inria.hal.science/hal-01384148
https://inria.hal.science/hal-01384148
Autor:
Dufour, Patrick, Bergerat, Jean-Pierre, Barats, Jean-Claude, Giron, Cathy, Duclos, Brigitte, Dellenbach, Pierre, Ritter, Jean, Renaud, Robert, Audhuy, Bruno, Oberling, Francis, Dufour, P, Bergerat, J P, Barats, J C, Giron, C, Duclos, B, Dellenbach, P, Ritter, J, Renaud, R, Audhuy, B, Oberling, F
Publikováno v:
Cancer (0008543X); Apr1994, Vol. 73 Issue 7, p1865-1869, 5p
Publikováno v:
American Journal of Physiology: Regulatory, Integrative & Comparative Physiology; 1991, Vol. 30 Issue 5, pR1294-R1299, 6p
Autor:
Dellenbach, Pierre, Nisand, Israel, Moreau, Laurence, Feger, Brigitte, Plumere, Claude, Gerlinger, Pierre
Publikováno v:
Fertility and Sterility; November 1985, Vol. 44 Issue: 5 p656-662, 7p
Publikováno v:
Biology of the Neonate; January 1990, Vol. 58 Issue: 2 p61-68, 8p