Support vector domain description

Pattern Recognition Letters

Volumn 20, Issue 11-13, 1999, Pages 1191-1199

  Tax, David M J ^a   Duin, Robert P W ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DATA DESCRIPTION; DECISION THEORY; FEATURE EXTRACTION;

SUPPORT VECTOR DOMAIN DESCRIPTION (SVDD); SUPPORT VECTOR MACHINES (SVM);

OBJECT RECOGNITION;

EID: 0033220728     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00087-2     Document Type: Article

References (7)

1. 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.
2. Ritter, G., Gallegos, M.T., 1997. Outliers in statistical pattern recognition and an application to automatic chromosome classification. Pattern Recognition Letters 18, 525-539.
3. Tarassenko, L., Hayton, P., Brady, M., To appear. Novelty detection for the identification of masses in mammograms.
4. 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.
5. 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.
6. Vapnik, V., 1995. The Nature of Statistical Learning Theory. Springer, New York.
7. 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.