Funder
National Natural Science Foundation of China
State Key Laboratory of Resources and Environmental Information System
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference72 articles.
1. Ali, T., & Chaudhuri, S. (2018). Maximum margin metric learning over discriminative null space for person re-identification. In Proceedings of the European conference on computer vision (ECCV) (pp. 122–138).
2. Variational autoencoder based anomaly detection using reconstruction probability;An;Special Lecture on IE,2015
3. Segregation network for multi-class novelty detection;Bhattacharjee,2020
4. A review on support vector machine for data classification;Bhavsar;International Journal of Advanced Research in Computer Engineering & Technology (IJARCET),2012
5. Bodesheim, P., Freytag, A., Rodner, E., Kemmler, M., & Denzler, J. (2013). Kernel null space methods for novelty detection. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3374–3381).
Cited by
28 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献