Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Muriel Visani"'
Publikováno v:
IEEE Access, Vol 10, Pp 101248-101262 (2022)
Domain adaptation methods in machine learning deal with the domain shift issue by aligning source and target data representation. This paper proposes a novel domain adaptation method for semantic segmentation that exploits the Fourier transform on ch
Externí odkaz:
https://doaj.org/article/fcc96f94eaa34ded8a9effea9ac62028
Publikováno v:
Journal of Imaging, Vol 6, Iss 12, p 139 (2020)
The widespread deployment of facial recognition-based biometric systems has made facial presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey thoroughly investigates facial Presentation Attack Detection (PAD)
Externí odkaz:
https://doaj.org/article/4c1fd21b44d44bf0a5b57094557e43c5
Publikováno v:
Journal of Imaging, Vol 3, Iss 4, p 62 (2017)
Most digital libraries that provide user-friendly interfaces, enabling quick and intuitive access to their resources, are based on Document Image Analysis and Recognition (DIAR) methods. Such DIAR methods need ground-truthed document images to be eva
Externí odkaz:
https://doaj.org/article/f7f8f1b1017a46ddbeba6a6ba1442d82
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 13, Iss 2 (2014)
In recent years, the expansion of acquisition devices such as digital cameras, the development of storage and transmission techniques and the success of tablet computers facilitate the development of many large image databases as well as the interact
Externí odkaz:
https://doaj.org/article/691182e7de134d569dba12a2e7ce050a
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 18:809-818
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36c30ab3cb82df5b839279838d46b4f7
https://doi.org/10.1007/s11548-023-02866-6
https://doi.org/10.1007/s11548-023-02866-6
Publikováno v:
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286657⟩
IPTA
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286657⟩
IPTA
To study neurodegenerative diseases, longitudinal studies are carried on volunteer patients. During a time span of several months to several years, they go through regular medical visits to acquire data from different modalities, such as biological s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e71f2597f3f28fc1c576a4208fe6738
http://arxiv.org/abs/2011.00840
http://arxiv.org/abs/2011.00840
Publikováno v:
Advances in Data Analysis and Classification
Advances in Data Analysis and Classification, Springer Verlag, 2015
Advances in Data Analysis and Classification, Springer Verlag, 2017, 11 (1), pp.49-77. ⟨10.1007/s11634-015-0225-7⟩
Advances in Data Analysis and Classification, Springer Verlag, 2015
Advances in Data Analysis and Classification, Springer Verlag, 2017, 11 (1), pp.49-77. ⟨10.1007/s11634-015-0225-7⟩
The present paper deals with supervised classification methods based on Galois lattices and decision trees. Such ordered structures require attributes discretization and it is known that, for decision trees, local discretization improves the classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d5979f7257411c3b1bf947813fae64f
https://doi.org/10.1007/s11634-015-0225-7
https://doi.org/10.1007/s11634-015-0225-7
Publikováno v:
Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, 2018, 77 (20), pp.26173-26189. ⟨10.1007/s11042-018-5841-8⟩
Multimedia Tools and Applications, Springer Verlag, 2018, 77 (20), pp.26173-26189. ⟨10.1007/s11042-018-5841-8⟩
One objective of the Content Based Image Retrieval research field is to propose new methodologies and tools to manage the increasing number of images available. Linked to a specific context of small expert datasets without prior knowledge, our resear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3be0b7ffe2a00a4dc1fb2bb1ff133cf8
https://hal.archives-ouvertes.fr/hal-01917046
https://hal.archives-ouvertes.fr/hal-01917046
Publikováno v:
ICPR
The effectiveness of the state-of-the-art face verifi-cation/recognition algorithms and the convenience of face recognition greatly boost the face-related biometric authentication applications. However, existing face verification architectures seldom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eb9cd296dbfb18e6ebc3246871f7234
https://doi.org/10.1109/icpr.2018.8545274
https://doi.org/10.1109/icpr.2018.8545274