Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bruno Conche"'
Publikováno v:
HPCAsia2022: International Conference on High Performance Computing in Asia-Pacific Region
HPC Asia2022: International Conference on High Performance Computing in Asia-Pacific Region
HPC Asia2022: International Conference on High Performance Computing in Asia-Pacific Region, Jan 2022, Virtual Event, Japan. pp.61-71, ⟨10.1145/3492805.3492819⟩
HPC Asia2022: International Conference on High Performance Computing in Asia-Pacific Region
HPC Asia2022: International Conference on High Performance Computing in Asia-Pacific Region, Jan 2022, Virtual Event, Japan. pp.61-71, ⟨10.1145/3492805.3492819⟩
International audience; Automated Machine Learning with ensembling (or AutoML with ensembling) seeks to automatically build ensembles of Deep Neural Networks (DNNs) to achieve qualitative predictions. Ensemble of DNNs are well known to avoid over-fit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28430ad8e4290b66b60ff59d989efedc
Camera traps have revolutionized animal research of many species that were previously nearly impossible to observe due to their habitat or behavior.Deep learning has the potential to overcome the workload to the class automatically those images accor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63d3a553f392bdf490771ff051e80866
https://doi.org/10.36227/techrxiv.17068454.v1
https://doi.org/10.36227/techrxiv.17068454.v1
Publikováno v:
Interactive Data Processing and 3D Visualization of the Solid Earth ISBN: 9783030907150
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db2f770a76075961d9e9581e6a8df7eb
https://doi.org/10.1007/978-3-030-90716-7_6
https://doi.org/10.1007/978-3-030-90716-7_6
Publikováno v:
IEEE Symposium on Large Data Analysis and Visualization
IEEE Symposium on Large Data Analysis and Visualization, Oct 2018, Berlin, Germany
LDAV
IEEE Symposium on Large Data Analysis and Visualization, Oct 2018, Berlin, Germany
LDAV
International audience; This paper presents a robust and efficient method for tracking topological features in time-varying scalar data. Structures are tracked based on the optimal matching between persistence diagrams with respect to the Wasserstein
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::183d9abdd4024844a3c01a5f22664d99
https://hal.archives-ouvertes.fr/hal-01857913v2/file/template.pdf
https://hal.archives-ouvertes.fr/hal-01857913v2/file/template.pdf
Publikováno v:
PacificVis
IEEE Pacific Conference on Visualisation
IEEE Pacific Conference on Visualisation, Apr 2018, Kobe, Japan. pp.46-55, ⟨10.1109/PacificVis.2018.00015⟩
IEEE Pacific Conference on Visualisation
IEEE Pacific Conference on Visualisation, Apr 2018, Kobe, Japan. pp.46-55, ⟨10.1109/PacificVis.2018.00015⟩
International audience; This paper presents a new algorithm for the lossy compression of scalar data defined on 2D or 3D regular grids, with topological control. Certain techniques allow users to control the pointwise error induced by the compression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::027d8dab52eb09d37fe574bc8f634dfe
https://doi.org/10.1109/pacificvis.2018.00015
https://doi.org/10.1109/pacificvis.2018.00015
Publikováno v:
The Leading Edge. 18:588-593
Seismic data from West Africa has been known for some time to be significantly influenced by seismic P-wave anisotropy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7047d7a6a64cbb2a756c0f3819dccde
https://doi.org/10.1190/1.1438341
https://doi.org/10.1190/1.1438341
Publikováno v:
6th International Congress of the Brazilian Geophysical Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fcb3feff373e55f1fa514e670af63ed
https://doi.org/10.3997/2214-4609-pdb.215.sbgf391
https://doi.org/10.3997/2214-4609-pdb.215.sbgf391
Autor:
Mélanie Plainchault, Julien Tierny, Gilles Darche, Martin Petitfrere, Maxime Soler, Bruno Conche
Publikováno v:
2019 IEEE 9th Symposium on Large Data Analysis and Visualization (LDAV)
LDAV
IEEE Symposium on Large Data Analysis and Visualization
IEEE Symposium on Large Data Analysis and Visualization, Oct 2019, Vancouver, Canada
LDAV
IEEE Symposium on Large Data Analysis and Visualization
IEEE Symposium on Large Data Analysis and Visualization, Oct 2019, Vancouver, Canada
International audience; This application paper presents a novel framework based on topological data analysis for the automatic evaluation and ranking of viscous finger simulation runs in an ensemble with respect to a reference acquisition. Individual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cb1eeb1ac0b6a91d8b9a5078f8113da
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