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Disambiguation of "Ammar, Sourour"

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Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation.

, , , , and . ECML/PKDD (3), volume 6913 of Lecture Notes in Computer Science, page 113-128. Springer, (2011)

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Ammar Ammar

Sourour Grigem

Maha Ammar

Ammar Khraisheh

Ammar Assoum

 

Other publications of authors with the same name

A two-stage deep neural network for multi-norm license plate detection and recognition., , , and . Expert Syst. Appl., (2019)Fusing Local and Global Features for Person Re-identification Using Multi-stream Deep Neural Networks., , , , and . MedPRAI, volume 1322 of Communications in Computer and Information Science, page 73-85. Springer, (2020)PCMCR: A Novel Conflict Resolution Strategy based on Possibility Theory for Human Activity Recognition., , , and . KES, volume 207 of Procedia Computer Science, page 926-935. Elsevier, (2022)Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation., , , , and . ECML/PKDD (3), volume 6913 of Lecture Notes in Computer Science, page 113-128. Springer, (2011)Re-ranking Person Re-identification using Attributes Learning., , and . Neural Comput. Appl., 33 (19): 12827-12843 (2021)Mixture of Markov Trees for Bayesian Network Structure Learning with Small Datasets in High Dimensional Space., and . ECSQARU, volume 6717 of Lecture Notes in Computer Science, page 229-238. Springer, (2011)Masking for better discovery: Weakly supervised complementary body regions mining for person re-identification., , , and . Expert Syst. Appl., (2022)Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks., , and . Neural Comput. Appl., 34 (3): 2055-2071 (2022)Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional Networks., , , and . ICIAR (1), volume 11662 of Lecture Notes in Computer Science, page 345-356. Springer, (2019)Modèles Graphiques Probabilistes pour l'Estimation de Densité en grande dimension : applications du principe Perturb & Combine pour les mélanges d'arbres. (Probabilistic graphical models for density estimation in high dimensional spaces: application of the Perturb & Combine principle with tree mixtures).. University of Nantes, France, (2010)