Zobrazeno 1 - 10 of 74 pro vyhledávání: '"Franck Gechter"'
1
Akademický článek
Approach for improved development of advanced driver assistance systems for future smart mobility concepts
Autor: Michael Weber, Tobias Weiss, Franck Gechter, Reiner Kriesten
Publikováno v: Autonomous Intelligent Systems, Vol 3, Iss 1, Pp 1-14 (2023)
Abstract To use the benefits of Advanced Driver Assistance Systems (ADAS)-Tests in simulation and reality a new approach for using Augmented Reality (AR) in an automotive vehicle for testing ADAS is presented in this paper. Our procedure provides a l
Externí odkaz: https://doaj.org/article/c8ad0bb150764c1ea8828098bd06a644
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2
Akademický článek
Advancements and Challenges in Handwritten Text Recognition: A Comprehensive Survey
Autor: Wissam AlKendi, Franck Gechter, Laurent Heyberger, Christophe Guyeux
Publikováno v: Journal of Imaging, Vol 10, Iss 1, p 18 (2024)
Handwritten Text Recognition (HTR) is essential for digitizing historical documents in different kinds of archives. In this study, we introduce a hybrid form archive written in French: the Belfort civil registers of births. The digitization of these
Externí odkaz: https://doaj.org/article/d266af4011804b91b3b72076e5e47723
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3
Akademický článek
French vital records data gathering and analysis through image processing and machine learning algorithms
Autor: Cyprien Plateau-Holleville, Enzo Bonnot, Franck Gechter, Laurent Heyberger
Publikováno v: Journal of Data Mining and Digital Humanities, Vol 2021 (2021)
Vital records are rich of meaningful historical data concerning city as well as countryside inhabitants that can be used, among others, to study former populations and then reveal the social, economic and demographic characteristics of those populati
Externí odkaz: https://doaj.org/article/76278c95fabd41729e099ba0dcaa7a67
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5
Supervised and semi-supervised deep probabilistic models for indoor positioning problems
Autor: Weizhu Qian, Franck Gechter, Fabrice Lauri
Publikováno v: Neurocomputing. 435:228-238
Predicting smartphone users location with WiFi fingerprints has been a popular research topic recently. In this work, we propose two novel deep learning-based models, the convolutional mixture density recurrent neural network and the VAE-based semi-s
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d70002cbb5911dff942f2cdce1240d62
https://doi.org/10.1016/j.neucom.2020.12.131
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6
Augmented Reality Application for HoloLens Dedicated to the Accuracy Test: Evolution and Results
Autor: Julien Barbier, Franck Gechter, Sylvain Grosdemouge
Publikováno v: Healthcare and Medical Devices.
Augmented Reality (AR) proposes new ways to visualize and to interact with virtual objects. Depending on the target interaction modality and the application requirements, different type of devices can be chosen. If AR on smartphones can propose a Gra
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::062c282c42dfd6982f4861967281b3a2
https://doi.org/10.54941/ahfe1002097
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8
French vital records data gathering and analysis through image processing and machine learning algorithms
Autor: Enzo Bonnot, Cyprien Plateau-Holleville, Laurent Heyberger, Franck Gechter
Publikováno v: Journal of Data Mining and Digital Humanities
Journal of Data Mining and Digital Humanities, Episciences.org, In press, 2021, ⟨10.46298/jdmdh.7327⟩
Journal of Data Mining and Digital Humanities, In press, 2021, ⟨10.46298/jdmdh.7327⟩
Vital records are rich of meaningful historical data concerning city as well as countryside inhabitants that can be used, among others, to study former populations and then reveal the social, economic and demographic characteristics of those populati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d51d19c913ef4b4d56d3e2871bac5028
https://jdmdh.episciences.org/7327
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9
Variational Information Bottleneck Model for Accurate Indoor Position Recognition
Autor: Franck Gechter, Weizhu Qian
Publikováno v: ICPR
Recognizing user location with WiFi fingerprints is a popular approach for accurate indoor positioning problems. In this work, our goal is to interpret WiFi fingerprints into actual user locations. However, WiFi fingerprint data can be very high dime
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::799c5270f0e79092f451b05dc35928f8
https://doi.org/10.1109/icpr48806.2021.9412651
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10
An environment based approach for the ant colony convergence
Autor: Franck Gechter, Pierre Romet, Olivier Grunder, Sidi-Mohammed Senouci, El-Hassane Aglzim
Publikováno v: The 11th International conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020)
The 11th International conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2020), Nov 2020, Madeira, Portugal
EUSPN/ICTH
Ant colony optimization (ACO) algorithms are a bio inspired solutions which have been very successful in combinatorial problem solving, also known as NP-hard problems, including transportation system optimization. As opposed to exact methods, which c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ad2effae25c5044da88e2cd9b0d9a76
https://hal.archives-ouvertes.fr/hal-02879630
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