Multiple distribution data description learning algorithm for novelty detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6635 LNAI, Issue PART 2, 2011, Pages 246-257

  Le, Trung ^a   Tran, Dat ^a   Ma, Wanli ^a   Sharma, Dharmendra ^a  

^a UNIVERSITY OF CANBERRA   (Australia)

Author keywords

Novelty detection; one class classification; spherically shaped boundary; support vector data description

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA DESCRIPTION; DATA MINING; ITERATIVE METHODS; LEARNING SYSTEMS;

CLASSIFICATION ERROR RATE; CLASSIFICATION ERRORS; ITERATIVE LEARNING ALGORITHMS; MULTIPLE DISTRIBUTION; NOVELTY DETECTION; ONE-CLASS CLASSIFICATION; SPHERICALLY SHAPED BOUNDARIES; SUPPORT VECTOR DATA DESCRIPTION;

LEARNING ALGORITHMS;

EID: 79957956807     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20847-8_21     Document Type: Conference Paper

References (20)

1. Bishop, C.M.: Novelty detection and neural network validation. In: IEEE Proceedings of Vision, Image and Signal Processing, pp. 217-222 (1994)
2. Barnett, V., Lewis, T.: Outliers in statistical data, 3rd edn. Wiley, Chichester (1978)
3. Campbell, C., Bennet, K.P.: A linear programming approach to novelty detection. Advances in Neural Information Processing Systems 14 (2001)
4. Chang, C.-C., Lin, C.-J.: LIBSVM: A Library for Support Vector Machines, http://www.csie.ntu.edu.tw/~cjlinlibsvm
5. Hao, P.Y., Liu, Y.H.: A New Multi-class Support Vector Machine with Multisphere in the Feature Space. In: Okuno, H.G., Ali, M. (eds.) IEA/AIE 2007. LNCS (LNAI), vol. 4570, pp. 756-765. Springer, Heidelberg (2007)
6. Kubat, M., Matwin, S.: Addressing the curse of imbalanced training set: One-sided selection. In: Proc. 14th International Conference on Machine Learning, pp. 179-186 (1997)
7. Le, T., Tran, D., Ma, W., Sharma, D.: An Optimal Sphere and Two Large Margins Approach for Novelty Detection. In: Proc. IEEEWorld Congress on Computational Intelligence, WCCI (accepted 2010)
8. Lin, Y., Lee, Y., Wahba, G.: Support vector machine for classification in nonstandard situations. Machine Learning 15, 1115-1148 (2002)
9. Moya, M.M., Koch, M.W., Hostetler, L.D.: One-class classifier networks for target recognition applications. In: Proceedings of World Congress on Neural Networks, pp. 797-801 (1991)
10. Mu, T., Nandi, A.K.: Multiclass Classification Based on Extended Support Vector Data Description. IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics 39(5), 1206-1217 (2009)
11. Parra, L., Deco, G., Miesbach, S.: Statistical independence and novelty detection with information preserving nonlinear maps. Neural Computation 8, 260-269 (1996)
12. Roberts, S., Tarassenko, L.: A Probabilistic Resource Allocation Network for Novelty Detection. Neural Computation 6, 270-284 (1994)
13. Schlkopf, Smola, A.J.: Learning with kernels. The MIT Press, Cambridge (2002)
14. Tax, D.M.J., Duin, R.P.W.: Support vector data description. Machine Learning 54, 45-56 (2004)
15. Tax, D.M.J.: Datasets (2009), http://ict.ewi.tudelft.nl/~davidt/occ/ index.html
16. Towel, G.G.: Local expert autoassociator for anomaly detection. In: Proc. 17th International Conference on Machine Learning, pp. 1023-1030. Morgan Kaufmann Publishers Inc., San Francisco (2000)
17. Vapnik, V.: The nature of statistical learning theory. Springer, Heidelberg (1995)
18. Vert, J., Vert, J.P.: Consistency and convergence rates of one class svm and related algorithm. Journal of Machine Learning Research 7, 817-854 (2006)
19. Xiao, Y., Liu, B., Cao, L., Wu, X., Zhang, C., Hao, Z., Yang, F., Cao, J.: Multi-sphere Support Vector Data Description for Outliers Detection on Multi-Distribution Data. In: Proc. IEEE International Conference on Data Mining Workshops, pp. 82-88 (2009)
20. Yu, M., Ye, J.: A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers. IEEE Transaction on Pattern Analysis and Machine Intelligence 31, 2088-2092 (2009)