Support vector domain description

Pattern Recognition Letters - Tập 20 Số 11-13 - Trang 1191-1199 - 1999
David M. J. Tax1, Robert P. W. Duin1
1Pattern Recognition Group, Faculty of Applied Science, Delft University of Technology, F263 Lorentzweg 1, 2628 CJ Delft, The Netherlands

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Tài liệu tham khảo

Blake, C., Keogh, E., Merz, C., 1998. UCI repository of machine learning databases. http://www.ics.uci.edu/∼mlearn/MLRepository.html, University of California, Irvine, Department of Information and Computer Sciences

Ritter, 1997, Outliers in statistical pattern recognition and an application to automatic chromosome classification, Pattern Recognition Letters, 18, 525, 10.1016/S0167-8655(97)00049-4

Tarassenko, L., Hayton, P., Brady, M., To appear. Novelty detection for the identification of masses in mammograms

Tax, D., Duin, R., 1998. Outlier detection using classifier instability. In: Amin, A., Dori, D., Pudil, P., Freeman, H. (Eds.), Advances in Pattern Recognition Proc. Joint IAPR Internat. Workshops SSPR'98 and SPR'98, Sydney, Australia. Lecture Notes in Computer Science, Vol. 1451. Springer, Berlin, pp. 593–601

Tax, D., Duin, R., 1999. Data domain description using support vectors. In: Verleysen, M. (Ed.), Proc. European Symposium Artificial Neural Networks 1999. D. Facto, Brussel, pp. 251–256

Vapnik, V., 1995. The Nature of Statistical Learning Theory. Springer, New York

Ypma, A., Pajunen, P., 1999. Rotating machine vibration analysis with second-order independent component analysis. In: Proc. 1st Internat. Workshop Independent Component Analysis and Signal Separation, ICA'99, pp. 37–42