Apprentissage profond de métrique de similarité pour le suivi d'objets multiples

Autor: Cuan, Bonan

Publikováno v: Artificial Intelligence [cs.AI]. Université de Lyon, 2019. English. ⟨NNT : 2019LYSEI065⟩

Multiple object tracking, i.e. simultaneously tracking multiple objects in the scene, is an important but challenging visual task. Objects should be accurately detected and distinguished from each other to avoid erroneous trajectories. Since remarkab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::2eb105d22a595d124caba65bc6c1d109
https://tel.archives-ouvertes.fr/tel-02900639

Malware Detection in PDF Files Using Machine Learning

Autor: Cuan , Bonan, Damien , Aliénor, Delaplace , Claire, Valois , Mathieu

Publikováno v: SECRYPT 2018-15th International Conference on Security and Cryptography
SECRYPT 2018-15th International Conference on Security and Cryptography, Jul 2018, Porto, Portugal. 8p
[Research Report] Rapport LAAS n° 18030, REDOCS. 2018, 16p

In this report we present how we used machine learning techniques to detect malicious behaviours in PDF files.At this aim, we first set up a SVM (Support Machine Vector) classifier that was able to detect 99.7% of malware. However, this classifier wa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78e0daa4d397be6e205d7f996d599437
https://hal.science/hal-01704766v2/document

Contour Guided Hierarchical Model for Shape Matching.

Autor: Su, Yuanqi, Liu, Yuehu, Cuan, Bonan, Zheng, Nanning

Publikováno v: 2015 IEEE International Conference on Computer Vision (ICCV); 1/1/2015, p1609-1617, 9p