Výsledky vyhledávání - "Mekhnacha, Kamel"

Dissertation/ Thesis

Méthodes Probabilistes Bayesiennes pour la prise en en compte des incertitudes géométriques : Application à la CAO-Robotique

Autor: Mekhnacha, Kamel

Cette these porte sur l'utilisation du formalisme bayesien pour la repr´esentation et la manipulation des incertitudes geometriques dans les systemes de Robotique et de CAORobotique. Dans ces systemes, l'utilisation d'un modele geometrique de l'envi

Externí odkaz: http://tel.archives-ouvertes.fr/tel-00010472
http://tel.archives-ouvertes.fr/docs/00/04/85/68/PDF/tel-00010472.pdf

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Combining latent tree modeling with a random forest-based approach, for genetic association studies

Autor: Sinoquet, Christine, Mekhnacha, Kamel

Publikováno v: 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN2018
26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN2018, Apr 2018, Bruges, Belgium. pp.225-230

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::35bdd83660e8e21abc71e96262fd05f8
https://hal.archives-ouvertes.fr/hal-01984665

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Robust multi-target sensing/tracking in the Bayesian Occupancy Filter framework

Autor: Mekhnacha, Kamel, Raulo, David

We present the “Bayesian Occupancy Filter” (BOF) and the “Fast Clustering- Tracking” algorithms as a framework for robust sensing and multi-target tracking using multiple sensors. Perceiving of the surrounding physical environment reliably is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::31d758bd43a11ea70e5d8eb317824368
https://hal.science/hal-00278037

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Bayesian occupancy filter based 'Fast Clustering-Tracking' algorithm

Autor: Mekhnacha, Kamel, Mao, Yong, Raulo, David, Laugier, Christian

Publikováno v: IROS 2008
IROS 2008, Sep 2008, Nice, France

International audience; It has been shown that the dynamic environment around the mobile robot can be efficiently and robustly represented by the Bayesian occupancy filter (BOF) . In the BOF framework, the environment is decomposed into a grid based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3cdc84f8824f208cd2f1c953bcd516cc
https://inria.hal.science/inria-00336356

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The 'Fast Clustering-Tracking' algorithm in the Bayesian occupancy Filter framework

Autor: Mekhnacha, Kamel, Mao, Yong, Raulo, David, Laugier, Christian

Publikováno v: MFI2008
MFI2008, Aug 2008, Seoul, North Korea

International audience; It has been shown that the dynamic environment around the mobile robot can be efficiently and robustly represented by the Bayesian occupancy filter(BOF). In the BOF framework, the physical world is decomposed into a grid based

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a9de5c1707115aa5c927dfb974b8a70e
https://hal.inria.fr/inria-00336359/document

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Velocity Estimation on the Bayesian Occupancy Filter for Multi-Target Tracking

Autor: Yguel, Manuel, Tay, Christopher, Mekhnacha, Kamel, Laugier, Christian

Publikováno v: [Research Report] RR-5836, INRIA. 2006, pp.17

Reliable and efficient perception in dynamic environments especially in densely cluttered environments is still a challenge today. Most of the systems used for target tracking are based on object models. Such approaches usually fail in complex enviro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5fe2f80191a024689f946a5b229a54d9
https://hal.inria.fr/inria-00070190/file/RR-5836.pdf

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A unifying framework for exact and approximate Bayesian inference

Autor: Mekhnacha, Kamel, Smail, Linda, Ahuactzin, Juan-Manuel, Bessière, Pierre, Mazer, Emmanuel

Publikováno v: [Research Report] RR-5797, INRIA. 2006, pp.44

We present a unifying framework for exact and approximate inference in Bayesian networks. This framework has been used to design a general purpose Bayesian inference engine, called ``ProBT'', for probabilistic reasoning and incremental model construc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::87d96cfa6eab062ee3cebbdcf13a9865
https://hal.inria.fr/inria-00070226/document

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Simulation et Programmation

Autor: Bessiere, Pierre, Lebeltel, Olivier, Mazer, Emmanuel, Mekhnacha, Kamel

Publikováno v: Analyse et modélisation des robots
E. DOMBRE. Analyse et modélisation des robots, Editions HERMES, 2001

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::63782acbc1d086513ccc365c06294315
https://hal.archives-ouvertes.fr/hal-00106245

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