Employing optimized combinations of one-class classifiers for automated currency validation

Author:

He Chao,Girolami Mark,Ross Gary

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference21 articles.

1. Support vector domain description;Tax;Pattern Recognition Lett.,1999

2. D.M.J. Tax, One-class classification, Ph.D. Thesis, Technische Universiteit, Delft, 2001.

3. P. Hayton, B. Schölkopf, L. Tarassenko, P. Anuzis, Support vector novelty detection applied to jet engine vibration spectra, in: T.K. Leen, T.G. Dietterich, V. Tresp (Eds.), Advances in Neural Information Processing Systems, Vol. 13, MIT Press, Cambridge, MA, 2001, pp. 946–952.

4. D.M.J. Tax, R.P.W. Duin, Combining one-class classifiers, in: J. Kittler, F. Roli (Eds.), Multiple Classifier Systems, Proceedings of the Second International Workshop MCS 2001, Cambridge, UK, July, Lecture Notes in Computer Science, Vol. 2096, Springer, Berlin, 2001, pp. 299–308.

5. R. Florian, D. Yarowsky, Modeling consensus: classifier combination for word sense disambiguation, Proceedings of the EMNLP’02, Philadelphia, PA, USA, 2002, pp. 25–32.

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