From unsupervised to semi-supervised anomaly detection methods for HRRP targets

Autor: Claude Adnet, Martin Bauw, Olivier Airiau, Santiago Velasco-Forero, Jesús Angulo

Publikováno v: 2020 IEEE Radar Conference (RadarConf20)
2020 IEEE Radar Conference (RadarConf20), Università di Pisa, Sep 2020, Florence, Italy. pp.1-6, ⟨10.1109/RadarConf2043947.2020.9266497⟩

International audience; Responding to the challenge of detecting unusual radar targets in a well identified environment, innovative anomaly and novelty detection methods keep emerging in the literature. This work aims at presenting a benchmark gather

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72313fc00ea9c9773215f58c65e5152f
https://hal.archives-ouvertes.fr/hal-03076384

Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part IV

Autor: Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022.The 236 full