Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Benjamin Bejar Haro"'
Autor:
Alexandre Coudray, Romain Forey, Benjamin Bejar Haro, Filipe Martins, Joana Carlevaro-Fita, Shaoline Sheppard, Sandra Eloise Offner, Gioele La Manno, Guillaume Obozinski, Didier Trono
Ex-vivodrug sensitivity screening (DSS) allows the prediction of cancer treatment effectiveness in a personalized fashion. However, it only provides a readout on mixtures of cells, potentially occulting important information on clinically relevant ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dae3bf146099afdac785cbebe767fe58
https://doi.org/10.1101/2023.05.10.540140
https://doi.org/10.1101/2023.05.10.540140
Publikováno v:
IEEE Transactions on Signal Processing. 66:5862-5874
Traditional sampling results assume that the sample locations are known. Motivated by simultaneous localization and mapping (SLAM) and structure from motion (SfM), we investigate sampling at unknown locations. Without further constraints, the problem
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585259
ECCV (29)
ECCV (29)
Events in natural videos typically arise from spatio-temporal interactions between actors and objects and involve multiple co-occurring activities and object classes. To capture this rich visual and semantic context, we propose using two graphs: (1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bbb30208954f33a5d278bec2c745501
https://doi.org/10.1007/978-3-030-58526-6_5
https://doi.org/10.1007/978-3-030-58526-6_5
Autor:
Martin Vetterli, Benjamin Bejar Haro
Publikováno v:
IEEE Transactions on Signal Processing. 66:1410-1424
We address the problem of sampling and reconstruction of sparse signals with finite rate of innovation. We derive general conditions under which perfect reconstruction is possible for sampling kernels satisfying Strang-Fix conditions. Previous result
Autor:
Narges Ahmidi, Lingling Tao, Shahin Sefati, Sanjeev Khudanpur, Colin Lea, Gregory D. Hager, Yixin Gao, Luca Zappella, René Vidal, Benjamin Bejar Haro
Publikováno v:
IEEE Transactions on Biomedical Engineering. 64:2025-2041
Objective : State-of-the-art techniques for surgical data analysis report promising results for automated skill assessment and action recognition. The contributions of many of these techniques, however, are limited to study-specific data and validati
Publikováno v:
Geoscientific Model Development
Geoscientific Model Development, Vol 7, Iss 5, Pp 2303-2311 (2014)
Geoscientific Model Development, Vol 7, Iss 5, Pp 2303-2311 (2014)
Emissions of harmful substances into the atmosphere are a serious environmental concern. In order to understand and predict their effects, it is necessary to estimate the exact quantity and timing of the emissions, from sensor measurements taken at d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e79b210c5db49b5466879278342d7ec
https://www.geosci-model-dev.net/7/2303/2014/
https://www.geosci-model-dev.net/7/2303/2014/
Publikováno v:
2017 International Conference on Sampling Theory and Applications (SampTA).
We consider the problem of sampling at unknown locations. We prove that, in this setting, if we take arbitrarily many samples of a polynomial or real bandlimited signal, it is possible to find another function in the same class, arbitrarily far away
Publikováno v:
ICASSP
It often happens that we are interested in reconstructing an unknown signal from partial measurements. Also, it is typically assumed that the location (temporal or spatial) of each sample is known and that the only distortion present in the observati
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 ISBN: 9783642334146
MICCAI (1)
MICCAI (1)
Much of the existing work on automatic classification of gestures and skill in robotic surgery is based on kinematic and dynamic cues, such as time to completion, speed, forces, torque, or robot trajectories. In this paper we show that in a typical s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d8ea02645f82cb97ca823f088b1a4c3
https://doi.org/10.1007/978-3-642-33415-3_5
https://doi.org/10.1007/978-3-642-33415-3_5
Publikováno v:
ICASSP
Could bandwidth—one of the most classic concepts in signal processing—have a new purpose? In this paper, we investigate the feasibility of using bandwidth to infer shape from a single image. As a first analysis, we limit our attention to orthogra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6628e799fb141331073035f478a62993
https://infoscience.epfl.ch/record/224065
https://infoscience.epfl.ch/record/224065