Rippel, O., Mertens, P., & Merhof, D. (2021, January 10). Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection. 2020 25th International Conference on Pattern Recognition (ICPR), 6726-6733. https://doi.org/10.1109/ICPR48806.2021.9412109
Chicago Style (17th ed.) CitationRippel, Oliver, Patrick Mertens, and Dorit Merhof. "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection." 2020 25th International Conference on Pattern Recognition (ICPR) 10 Jan. 2021: 6726-6733. https://doi.org/10.1109/ICPR48806.2021.9412109.
MLA (9th ed.) CitationRippel, Oliver, et al. "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection." 2020 25th International Conference on Pattern Recognition (ICPR), 10 Jan. 2021, pp. 6726-6733, https://doi.org/10.1109/ICPR48806.2021.9412109.