Author:
Mygdalis Vasileios,Iosifidis Alexandros,Tefas Anastasios,Pitas Ioannis
Funder
European Union Seventh Framework Programme
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference44 articles.
1. Estimating the support of a high-dimensional distribution;Scholkopf;Neural Comput.,2001
2. Support vector data description;Tax;Mach. Learn.,2004
3. Semisupervised one-class support vector machines for classification of remote sensing data;Muñoz-Marí;IEEE Trans. Geosci. Remote Sens.,2010
4. Kernel PCA for novelty detection;Hoffmann;Pattern Recognit.,2007
5. P. Bodesheim, A. Freytag, E. Rodner, M. Kemmler, J. Denzler, Kernel null space methods for novelty detection, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, pp. 3374–3381.
Cited by
32 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