Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Denis Hamad"'
Publikováno v:
Journal of Imaging, Vol 6, Iss 6, p 53 (2020)
LBP (Local Binary Pattern) is a very popular texture descriptor largely used in computer vision. In most applications, LBP histograms are exploited as texture features leading to a high dimensional feature space, especially for color texture classifi
Externí odkaz:
https://doaj.org/article/b1bc2976302540cb820a3d330bc28f11
Publikováno v:
Journal of Imaging, Vol 4, Iss 10, p 112 (2018)
These last few years, several supervised scores have been proposed in the literature to select histograms. Applied to color texture classification problems, these scores have improved the accuracy by selecting the most discriminant histograms among a
Externí odkaz:
https://doaj.org/article/43b169708481485ba319ef355415645b
Publikováno v:
Advances in Data Analysis and Classification
Advances in Data Analysis and Classification, Springer Verlag, 2020, ⟨10.1007/s11634-020-00408-5⟩
Advances in Data Analysis and Classification, Springer Verlag, 2020, ⟨10.1007/s11634-020-00408-5⟩
Pairwise constraints, a cheaper kind of supervision information that does not need to reveal the class labels of data points, were initially suggested to enhance the performance of clustering algorithms. Recently, researchers were interested in using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7433147d41b1748f7b3b4c45b841bf11
https://doi.org/10.1007/s11634-020-00408-5
https://doi.org/10.1007/s11634-020-00408-5
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031204890
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2275cc543868730b21c73fd72b2bfa1
https://doi.org/10.1007/978-3-031-20490-6_4
https://doi.org/10.1007/978-3-031-20490-6_4
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031204890
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec16fa6967020de0bc6942e058dd9339
https://doi.org/10.1007/978-3-031-20490-6_3
https://doi.org/10.1007/978-3-031-20490-6_3
Clustering, a foundational technique in data analytics, finds diverse applications across scientific, technical, and business domains. Within the theme of “Data Clustering,” this book assumes substantial importance due to its indispensable cluste
Publikováno v:
E3S Web of Conferences, Vol 297, p 01057 (2021)
IoT network is a promising technology, IoT implementation is growing rapidly but cybersecurity is still a loophole, detection of attacks in IOT infrastructures is a growing concern in the field of IoT. With the increased use of Internet of Things in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df141a44dc68a2b219cb4ef3e69ba139
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/73/e3sconf_iccsre21_01057.pdf
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/73/e3sconf_iccsre21_01057.pdf
Publikováno v:
Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference
Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, Nov 2020, Venise, Italy. pp.2795-2801, ⟨10.3850/978-981-14-8593-0_4966-cd⟩
Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, Nov 2020, Venise, Italy. pp.2795-2801, ⟨10.3850/978-981-14-8593-0_4966-cd⟩
International audience; The paper proposes a theoretical architecture model to analyze human emotion and attention. This model is basedon the concept of dissonances defined as conflicts between individual, collective, or organizational knowledgeas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::936e396673ab04c76132e3605ae607ad
https://hal-uphf.archives-ouvertes.fr/hal-03406166
https://hal-uphf.archives-ouvertes.fr/hal-03406166
Publikováno v:
Information Fusion
Information Fusion, Elsevier, 2020, ⟨10.1016/j.inffus.2020.11.007⟩
Information Fusion, Elsevier, 2021, 76, pp.422-428. ⟨10.1016/j.inffus.2020.11.007⟩
Information Fusion, Elsevier, 2020, ⟨10.1016/j.inffus.2020.11.007⟩
Information Fusion, Elsevier, 2021, 76, pp.422-428. ⟨10.1016/j.inffus.2020.11.007⟩
This paper proposes a new deep learning architecture for context-based multi-label multi-task emotion recognition. The architecture is built from three main modules: (1) a body features extraction module, which is a pre-trained Xception network, (2)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5673b2f235eddafccf84464cf5ce5c08
https://hal.archives-ouvertes.fr/hal-03106102
https://hal.archives-ouvertes.fr/hal-03106102
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030451820
SADASC
Smart Applications and Data Analysis (SADASC 2020)
Smart Applications and Data Analysis (SADASC 2020), Jun 2020, Marrakesh, Morocco. pp.178-186, ⟨10.1007/978-3-030-45183-7_13⟩
SADASC
Smart Applications and Data Analysis (SADASC 2020)
Smart Applications and Data Analysis (SADASC 2020), Jun 2020, Marrakesh, Morocco. pp.178-186, ⟨10.1007/978-3-030-45183-7_13⟩
Traffic congestion appears with different shapes and patterns that may evolve quickly over time. Static spectral clustering techniques are unable to manage these traffic variations. This paper proposes an evolutionary spectral clustering algorithm th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e0276053330775724f08c5fad40a24b
https://doi.org/10.1007/978-3-030-45183-7_13
https://doi.org/10.1007/978-3-030-45183-7_13