[1]
MU T, NANDI A K. Multiclass classification based on extended support vector data description[J]. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernatics, 2009, 39(5): 1206-1216.
DOI: 10.1109/tsmcb.2009.2013962
Google Scholar
[2]
CHEN B, LI B, PAN Z S. SVDD regularized with area under the ROC[C]/ Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology. Culture and Human. Seoul: [s. n. ], 2009: 364-368.
DOI: 10.1145/1655925.1655992
Google Scholar
[3]
TAX D M J, JUSZCZAK P. Kernel whitening for one-class classification[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2003, 17(3): 333-347.
DOI: 10.1142/s021800140300240x
Google Scholar
[4]
Wu J, Xiong H, Chen J. COG: Local decomposition for rare class analysis[J]. Data Mining and Knowledge Discovery, 2010, 20(2): 191-220.
DOI: 10.1007/s10618-009-0146-1
Google Scholar
[5]
Cortes C, Vapnik V N. Support-vector networks[J]. Machine Learning, 1995, 20(3): 273-297.
DOI: 10.1007/bf00994018
Google Scholar
[6]
Wu J, Xiong H, Wu P, et al. Local decomposition for rare class analysis[C]/ Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York: ACM Press, 2007: 814-823.
DOI: 10.1145/1281192.1281279
Google Scholar
[7]
Juszczak P, Tax D, Pe E, et al. Minimum spanning tree based one-class classifier[J]. Neurocomputing, 2009, 72(7/9): 1859-1869.
DOI: 10.1016/j.neucom.2008.05.003
Google Scholar
[8]
Sakla W, Chan A, Ji J, et al. An SVDD-based algorithm for target detection in hyperspectral imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(2): 384-388.
DOI: 10.1109/lgrs.2010.2078795
Google Scholar
[9]
Seo J, Ko H. Face detection using support vector domain description in color images[C]/ Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway, USA: IEEE, 2004: 729-732.
DOI: 10.1109/icassp.2004.1327214
Google Scholar
[10]
NISHIKAWA R M. Current status and future directions of computeraided diagnosis in mammography[J]. Computerized Medical lmaging and Graphics, 2007, 31(4/5): 224-235.
DOI: 10.1016/j.compmedimag.2007.02.009
Google Scholar
[11]
LAUER F. GUERMEUR Y. MSVMpack: a multi-class support vector machine package[J]. Journal of Machine Learning Research 2011, 12: 2293-2296.
Google Scholar
[12]
XU Y, ZHANG D, YANG J. et al. Evaluate dissimilarity of samples in feature space for improving KPCA[J]. International Journal of Information Technology and Decision Making, 2011, 10(3): 479-495.
DOI: 10.1142/s0219622011004415
Google Scholar
