Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Loic Simon"'
Autor:
Philippe Gaspard, Anne Mosnier, Loic Simon, Olivia Ali-Brandmeyer, Christian Rabaud, Sabrina Larocca, Béatrice Heck, Serge Aho-Glélé, Pierre Pothier, Katia Ambert-Balay
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0222321 (2019)
BACKGROUND:Gastroenteritis (GE) and respiratory tract infection (RTI) outbreaks are a significant issue in nursing homes. This study aimed to describe GE and RTI outbreaks with infection and all-cause lethality rates according to the individual chara
Externí odkaz:
https://doaj.org/article/6b7e2822e89c48ed8208c2cf4135e624
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Akademický článek
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Publikováno v:
ICPR 2020, International Association of Pattern Recognition
ICPR 2020, International Association of Pattern Recognition, IAPR, Jan 2021, Milan, Italy
ICPR
ICPR 2020, International Association of Pattern Recognition, IAPR, Jan 2021, Milan, Italy
ICPR
this work has been also presented in SPML19, ICML Workshop on Security and Privacy of Machine Learning (2019-06-14), Long Beach, California, USA; International audience; With the widespread application of deep networks in industry, membership inferen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a42e10becb2e821c0f3c2c49f6e16ea1
https://hal.archives-ouvertes.fr/hal-02367948
https://hal.archives-ouvertes.fr/hal-02367948
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030755485
8th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021)
8th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021), May 2021, Online event, 12679, Springer, Cham, 2021, Lecture Notes in Computer Sciences, 978-3-030-75548-5. ⟨10.1007/978-3-030-75549-2⟩
8th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021)
8th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021), May 2021, Online event, 12679, Springer, Cham, 2021, Lecture Notes in Computer Sciences, 978-3-030-75548-5. ⟨10.1007/978-3-030-75549-2⟩
International audience; This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a776bea05b527110705dbc2a7d47932
https://doi.org/10.1007/978-3-030-75549-2
https://doi.org/10.1007/978-3-030-75549-2
Publikováno v:
2020 IEEE International Conference on Image Processing (ICIP)
2020 IEEE International Conference on Image Processing (ICIP), Oct 2020, Abu Dhabi, France. pp.1816-1820, ⟨10.1109/ICIP40778.2020.9190745⟩
ICIP
2020 IEEE International Conference on Image Processing (ICIP), Oct 2020, Abu Dhabi, France. pp.1816-1820, ⟨10.1109/ICIP40778.2020.9190745⟩
ICIP
Adversarial approaches (e.g. DANN [1]) are currently considered to be the most promising avenue for unsupervised domain adaptation. They aim at building a common representation space between the domains, to both i) align the source and target domains
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4c65d1e17fed3849af819715432adc9
https://hal.archives-ouvertes.fr/hal-03337482
https://hal.archives-ouvertes.fr/hal-03337482
Publikováno v:
IEEE/RJS International Conference on Intelligent Robots and Systems (IROS)
IEEE/RJS International Conference on Intelligent Robots and Systems (IROS), Nov 2019, Macao, China
IROS
IEEE/RJS International Conference on Intelligent Robots and Systems (IROS), Nov 2019, Macao, China
IROS
International audience; As deep learning applications are becoming more and more pervasive in robotics, the question of evaluating the reliability of inferences becomes a central question in the robotics community. This domain, known as predictive un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f6fb2d5742912c43706797b4f3c1139
https://hal.archives-ouvertes.fr/hal-02242792/document
https://hal.archives-ouvertes.fr/hal-02242792/document
This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place in Cabourg, France, but
Publikováno v:
CVPR
IEEE conference on computer vision and pattern recognition (CVPR)
IEEE conference on computer vision and pattern recognition
IEEE conference on computer vision and pattern recognition, Jun 2019, Long Beach, United States
IEEE conference on computer vision and pattern recognition (CVPR)
IEEE conference on computer vision and pattern recognition
IEEE conference on computer vision and pattern recognition, Jun 2019, Long Beach, United States
International audience; State of the art deep generative networks are capable of producing images with such incredible realism that they can be suspected of memorizing training images. It is why it is not uncommon to include visualizations of trainin
Publikováno v:
Proceedings of SSPR 2016
Structural, Syntactic, and Statistical Pattern Recognition
Structural, Syntactic, and Statistical Pattern Recognition, Nov 2016, Mérida, Mexico. pp.368--378
Lecture Notes in Computer Science ISBN: 9783319490540
S+SSPR
Structural, Syntactic, and Statistical Pattern Recognition
Structural, Syntactic, and Statistical Pattern Recognition, Nov 2016, Mérida, Mexico. pp.368--378
Lecture Notes in Computer Science ISBN: 9783319490540
S+SSPR
International audience; In this paper, we propose a new data-driven approach for binary descriptor selection. In order to draw a clear analysis of common designs, we present a general information-theoretic selection paradigm. It encompasses several s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc655ba91fbb7cfb3c0c945589f2a0c
https://hal.archives-ouvertes.fr/hal-01418934
https://hal.archives-ouvertes.fr/hal-01418934