Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Achraf Ben-Hamadou"'
Publikováno v:
IEEE Access, Vol 12, Pp 36002-36015 (2024)
Electrocardiogram (ECG) data collection during emergency situations is challenging, making ECG data generation an efficient solution for dealing with highly imbalanced ECG training datasets. In this paper, we propose a novel approach for ECG signal g
Externí odkaz:
https://doaj.org/article/6921e872992b4ea59bca18e32aafeb4a
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::682d2b552eba7e8339ea84948d020883
https://doi.org/10.5220/0011692300003417
https://doi.org/10.5220/0011692300003417
Publikováno v:
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04331d05a03d2a4d2757782f7d6a8df7
https://doi.org/10.5220/0011794200003411
https://doi.org/10.5220/0011794200003411
Publikováno v:
Expert Systems with Applications. 213:118696
Feature matching and finding correspondences between endoscopic images is a key step in many clinical applications such as patient follow-up and generation of panoramic image from clinical sequences for fast anomalies localization. Nonetheless, due t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24afd9a759b768c30c529065a81a8082
https://doi.org/10.1016/j.eswa.2022.118696
https://doi.org/10.1016/j.eswa.2022.118696
Publikováno v:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73a445cbb72472a261c574c7f4be3d88
https://doi.org/10.1145/3477314.3507300
https://doi.org/10.1145/3477314.3507300
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d56c452cf59aeba6951a30c926b0956d
https://doi.org/10.5220/0010833700003124
https://doi.org/10.5220/0010833700003124
Publikováno v:
VISIGRAPP (5: VISAPP)
Scopus-Elsevier
Scopus-Elsevier
This paper focuses on designing data-driven models to learn a discriminant representation space for face recognition using RGB-D data. Unlike hand-crafted representations, learned models can extract and organize the discriminant information from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4534490cd0e0fe84bc3f10f25e3489e
https://doi.org/10.5220/0007403305100516
https://doi.org/10.5220/0007403305100516
Publikováno v:
Expert Systems with Applications. 150:113319
In this article we present a novel RGB-D learned local representations for face recognition based on facial patch description and matching. The major contribution of the proposed approach is an efficient learning and combination of data-driven descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7f76a78059fa7eaed5f47c38a1ff81e
https://doi.org/10.1016/j.eswa.2020.113319
https://doi.org/10.1016/j.eswa.2020.113319
Publikováno v:
Multimedia Tools and Applications. 75:8609-8636
Lip-reading (LR) systems play an important role for automatic speech recognition when acoustic information is corrupted or unavailable. This article proposes an adaptive LR system for speech segment recognition using image and depth data. In addition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97a2802908575e906bb8f374f88e6e58
https://doi.org/10.1007/s11042-015-2774-3
https://doi.org/10.1007/s11042-015-2774-3
Publikováno v:
3D Research
3D Research, Springer, 2016, 7 (3), pp.Article: 19. ⟨10.1007/s13319-016-0095-6⟩
3D Research, Springer, 2016, 7 (3), pp.Article: 19. ⟨10.1007/s13319-016-0095-6⟩
3D extended field of views (FOVs) of the internal bladder wall facilitate lesion diagnosis, patient follow-up and treatment traceability. In this paper, we propose a 3D image mosaicing algorithm guided by 2D cystoscopic video-image registration for o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bc85ba385d835c4fdbe0f46f9152fb7
