Sourour Ammar
Sourour Ammar
Assistant Professor at Digital Research Center of Sfax
Vahvistettu sähköpostiosoite verkkotunnuksessa crns.rnrt.tn
Nimike
Viittaukset
Viittaukset
Vuosi
A two-stage deep neural network for multi-norm license plate detection and recognition
Y Kessentini, MD Besbes, S Ammar, A Chabbouh
Expert Systems with Applications 136, 159-170, 2019
192019
Probability density estimation by perturbing and combining tree structured Markov networks
S Ammar, P Leray, B Defourny, L Wehenkel
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2009
152009
High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks
S Ammar, P Leray, B Defourny, L Wehenkel
122008
Sub-quadratic Markov tree mixture learning based on randomizations of the Chow-Liu algorithm
S Ammar, P Leray, F Schnitzler, L Wehenkel
112010
Sub-quadratic Markov tree mixture models for probability density estimation
S Ammar, P Leray, L Wehenkel
62010
Efficiently approximating Markov tree bagging for high-dimensional density estimation
F Schnitzler, S Ammar, P Leray, P Geurts, L Wehenkel
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
52011
Mixture of Markov trees for Bayesian network structure learning with small datasets in high dimensional space
S Ammar, P Leray
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2011
42011
Estimation de densité par ensembles aléatoires de poly-arbres
S Ammar, P Leray, L Wehenkel
32008
Mélanges sous-quadratiques d'arbres de Markov pour l'estimation de la densité de probabilité
S Ammar, P Leray, L Wehenkel
22010
Pertubation et combinaison d’arbres de markov pour l’estimation de densité
S Ammar, P Leray, B Defoumy, L Wehenkel
Proceedings of Conférence Francophone sur l’Apprentissage Automatique (CAp …, 2009
22009
Improving person re-identification by combining Siamese convolutional neural network and re-ranking process
N Mansouri, S Ammar, Y Kessentini
2019 16th IEEE International Conference on Advanced Video and Signal Based …, 2019
12019
Approximation efficace de mélanges bootstrap d'arbres de Markov pour l'estimation de densité
F Schnitzler, S Ammar, P Leray, P Geurts, L Wehenkel
12012
Modèles Graphiques Probabilistes pour l'Estimation de Densité en grande dimension: applications du principe Perturb & Combine pour les mélanges d'arbres
S Ammar
12010
Probabilistic graphical models for density estimation in high dimensional spaces: application of the Perturb & Combine principle with tree mixtures
S Ammar
England: Université de Nantes, 2010
12010
Density estimation with ensembles of randomized poly-trees
S Ammar, P Leray, B Defourny, L Wehenkel
12008
Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional Networks
M Ghorbel, S Ammar, Y Kessentini, M Jmaiel
International Conference on Image Analysis and Recognition, 345-356, 2019
2019
Modèles graphiques probabilistes pour l'estimation de densité en grande dimensionbTexte imprimé: applications du principe Perturb & Combine pour les mélanges d'arbres
S Ammar Kessentini
Nantes, 2010
2010
Étude Comparative des outils manipulant les réseaux bayésiens
S AMMAR–Sourour, LI Rouen, P LERAY–Philippe
Sub-quadratic Markov tree mixture models for probability density estimation
P Sourour Ammar, L Leray
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Artikkelit 1–19