Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Maxime Gasse"'
Autor:
Maxime Gasse, Andrea Lodi
Publikováno v:
Encyclopedia of Optimization ISBN: 9783030546212
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebb2f7892272c7d5f87234cdc172ac6c
https://doi.org/10.1007/978-3-030-54621-2_752-1
https://doi.org/10.1007/978-3-030-54621-2_752-1
Autor:
Patrick Delafontaine-Martel, Maxime Gasse, Rafat Damseh, Jean Provost, Frédéric Lesage, Leo Milecki, Hatim Belgharbi, Jonathan Poree, Chloe Bourquin
Publikováno v:
IEEE transactions on medical imaging. 40(5)
Ultrasound Localization Microscopy (ULM) can resolve the microvascular bed down to a few micrometers. To achieve such performance, microbubble contrast agents must perfuse the entire microvascular network. Microbubbles are then located individually a
Publikováno v:
MLSP
Latent-variable generative models offer a principled solution for modeling and sampling from complex probability distributions. Implementing a joint training objective with a complex prior, however, can be a tedious task, as one is typically required
Autor:
Ambros M. Gleixner, Benjamin Müller, Felipe Serrano, Andrea Lodi, Gonzalo Muñoz, Maxime Gasse
Publikováno v:
Integer Programming and Combinatorial Optimization ISBN: 9783030457709
IPCO
IPCO
Due to both theoretical and practical considerations, relaxations of MINLPs are usually required to be convex. Nonetheless, current optimization solvers can often successfully handle a moderate presence of nonconvexities, which opens the door for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a2c3bb7e135d5f2f8019c15dd7aca8b
https://doi.org/10.1007/978-3-030-45771-6_25
https://doi.org/10.1007/978-3-030-45771-6_25
Publikováno v:
INNS Conference on Big Data
Procedia Computer Science
Procedia Computer Science, Elsevier, 2018, 144, pp.71-80. ⟨10.1016/j.procs.2018.10.506⟩
Procedia Computer Science
Procedia Computer Science, Elsevier, 2018, 144, pp.71-80. ⟨10.1016/j.procs.2018.10.506⟩
International audience; Multi-label classification is a challenging problem when the number of labels is large. One simple strategy that appeared in the recent literature is to embed the labels in a latent binary subspace with autoencoders and then t
The most important ingredient for solving mixed-integer nonlinear programs (MINLPs) to global $$\epsilon $$ ϵ -optimality with spatial branch and bound is a tight, computationally tractable relaxation. Due to both theoretical and practical considera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa17ad85357075b1ea9b366dffee1b7
Publikováno v:
2017 IEEE International Ultrasonic Symposium (IUS)
2017 IEEE International Ultrasonic Symposium (IUS), Sep 2017, Washington, United States
2017 IEEE International Ultrasonic Symposium (IUS), Sep 2017, Washington, United States. 2017
HAL
2017 IEEE International Ultrasonic Symposium (IUS), Sep 2017, Washington, United States
2017 IEEE International Ultrasonic Symposium (IUS), Sep 2017, Washington, United States. 2017
HAL
International audience; Background, Motivation and ObjectiveObtaining ultrafast images using steered plane wave (PW) imaging remains a challenge due to the trade-off between image quality and frame rate. PW imaging indeed relies on compounding in ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b8c635c4a3e6971fdfabef11dcdc00d2
https://hal.archives-ouvertes.fr/hal-01609173
https://hal.archives-ouvertes.fr/hal-01609173
Publikováno v:
2017 IEEE International Ultrasonics Symposium (IUS).
Obtaining ultrafast images using steered plane wave (PW) imaging remains a challenge due to the trade-off between image quality and frame rate. PW imaging indeed relies on compounding in order to preserve a good image quality, usually using multiple
Publikováno v:
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Institute of Electrical and Electronics Engineers, 2017, 64 (10), pp.1637-1639. ⟨10.1109/TUFFC.2017.2736890⟩
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Institute of Electrical and Electronics Engineers, 2017, 64 (10), pp.1637-1639. 〈10.1109/TUFFC.2017.2736890〉
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Institute of Electrical and Electronics Engineers, 2017, 64 (10), pp.1637-1639. ⟨10.1109/TUFFC.2017.2736890⟩
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Institute of Electrical and Electronics Engineers, 2017, 64 (10), pp.1637-1639. 〈10.1109/TUFFC.2017.2736890〉
International audience; Single plane wave (PW) imaging produces ultrasound (US) images of poor quality at high frame rates (ultrafast). High-quality PW imaging usually relies on the coherent compounding of several successive steered emissions (typica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6924ab71377d55511284fee09b812a5
https://hal.archives-ouvertes.fr/hal-01596034/document
https://hal.archives-ouvertes.fr/hal-01596034/document
Publikováno v:
Expert Systems with Applications
Expert Systems with Applications, 2014, 41 (15), pp.6755-6772. ⟨10.1016/j.eswa.2014.04.032⟩
Expert Systems with Applications, Elsevier, 2014, 41 (15), pp.6755-6772. ⟨10.1016/j.eswa.2014.04.032⟩
Expert Systems with Applications, 2014, 41 (15), pp.6755-6772. ⟨10.1016/j.eswa.2014.04.032⟩
Expert Systems with Applications, Elsevier, 2014, 41 (15), pp.6755-6772. ⟨10.1016/j.eswa.2014.04.032⟩
We present a novel hybrid algorithm for Bayesian network structure learning, called H2PC. It first reconstructs the skeleton of a Bayesian network and then performs a Bayesian-scoring greedy hill-climbing search to orient the edges. The algorithm is