Overlapping Community Structure in Co-authorship Networks: a Case Study

Autor: Jebabli, Malek, Cherifi, Hocine, Cherifi, Chantal, Hamouda, Atef

Community structure is one of the key properties of real-world complex networks. It plays a crucial role in their behaviors and topology. While an important work has been done on the issue of community detection, very little attention has been devote

Externí odkaz: http://arxiv.org/abs/1504.00247

Apport de l'imagerie hyperfréquence en classification automatique des images satellites

Autor: Hamouda, Atef

Th. 3e cycle--Inform.--Toulouse 3, 1986.

Externí odkaz: http://catalogue.bnf.fr/ark:/12148/cb375981964

Object classification using Radon transform and Convolutional Neural Networks

Autor: El Hamdi, Dhekra, Elouedi, Ines, Fathallah, Abir, Nguyen, Mai K., Hamouda, Atef

Publikováno v: 2018 International Conference on Sensors, Systems, Signals and advanced technologies
2018 International Conference on Sensors, Systems, Signals and advanced technologies, May 2018, Hammamet, Tunisia

International audience; This paper presents a novel approach to perform object classification based on combining the conic Radon transform (CRT) and the convolutional neural networks (CNN). The CRT generalizes the classical Radon transform (RT) to de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b5a520a4de55a5de94307079d37fea06
https://hal.archives-ouvertes.fr/hal-01766740

Comparative study of feature detector and descriptor methods for registration

Autor: Osten, Wolfgang, Nikolaev, Dmitry P., Ben Marzouka, Wissal, Solaiman, Basel, Hamouda, Atef, Ben Dhiaf, Zouhour, Bsaies, Khaled

Publikováno v: Proceedings of SPIE; January 2020, Vol. 11433 Issue: 1 p114333H-114333H-6, 1029004p

Fingerprint recognition using Polynomial Discrete Radon Transform

Autor: Fournier Regis, Nait-Ali Amine, Hamdi Dhikra, Elouedi Ines, Hamouda Atef

Publikováno v: IPTA
Proc. Of the 4th IEEE 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014
Proc. Of the 4th IEEE 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014, Oct 2014, Paris, France. pp.1319-324, 2014
Proc. Of the 4th IEEE 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014, Oct 2014, Paris, France. pp.1319-324

International audience; This paper presents a new approach to identify persons using their fingerprints. The proposed approach is based on the Polynomial Discrete Radon Transform (PDRT). The PDRT extends the Classical Radon Transform (RT) by generali

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05e82fc4ba51b55f96404a3906e9c6c5
https://doi.org/10.1109/ipta.2014.7001981