Combining dissimilarity-based one-class classifiers

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

Volumn 3077, Issue , 2004, Pages 122-133

  Pȩkalska, Elzbieta ^a   Skurichina, Marina ^a   Duin, Robert P W ^a  

^a Delft University of Technology ^*  (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; COMPUTERS;

COMPLEX PROBLEMS; COMPUTATIONAL COSTS; DISSIMILARITY REPRESENTATIONS; ONE-CLASS CLASSIFICATION; ONE-CLASS CLASSIFIER; ORAL CAVITY; TARGET CLASS;

ARTIFICIAL INTELLIGENCE;

EID: 35048858295     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Article

References (16)

1. A.P. Bradley. The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30(7):1145-1159, 1997.
2. P.S. Bradley, O.L. Mangasarian, and W.N. Street. Feature selection via mathematical programming. INFORMS Journal on Computing, 10:209-217, 1998.
3. R.P.W. Duin, P. Juszczak, de D. Ridder, P. Paclík, E. Pȩkalska, and D. Tax. PR-Tools, a Matlab toolbox for pattern recognition, 2004.
4. F. Esposito, D. Malerba, V. Tamma, H.H. Bock, and F.A. Lisi. Analysis of Symbolic Data, chapter Similarity and Dissimilarity. Springer-Verlag, 2000.
5. L. Goldfarb. A new approach to pattern recognition. In Progress in Pattern Recognition, volume 2, pages 241-402. Elsevier Science Publishers B.V., 1985.
6. D.W. Jacobs, D. Weinshall, and Y. Gdalyahu. Classification with non-metric distances: Image retrieval and class representation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(6):583-600, 2000.
7. E. Pȩkalska. working title: Dissimilarity-based pattern recognition. PhD thesis, Delft University of Technology, The Netherlands, expected in 2004.
8. E. Pȩkalska, P. Paclík, and R.P.W. Duin. A generalized kernel approach to dissimilarity-based classification. Journal of Machine Learning Research, 2(2):175-211, 2001.
9. E. Pȩkalska, D.M.J. Tax, and R.P.W. Duin. One-class LP classifier for dissimilarity representations. In NIPS, pages 761-768. MIT Press, Cambridge, MA, 2003.
10. B. Schölkopf, J.C. Platt, A.J. Smola, and R.C. Williamson. Estimating the support of a high-dimensional distribution. Neural Computation, 13:1443-1471, 2001.
11. M. Skurichina and R.P.W. Duin. Combining different normalizations in lesion diagnostics. In Supplementary Proc. ICANN/ICONIP, pages 227-230, Turkey, 2003.
12. B.M.R. Stadler, P.F. Stadler, G.P. Wagner, and W. Fontana. The topology of the possible: Formal spaces underlying patterns of evolutionary change. Journal of Theoretical Biology, 213(2):241-274, 2001.
13. D.M.J. Tax. DD-Tools, a Matlab toolbox for data description, outlier and novelty detection, 2003.
14. D.M.J. Tax and R.P.W. Duin. Combining one-class classifiers. In Multiple Classifier Systems, LNCS, volume 2096, pages 299-308. Springer Verlag, 2001.
15. D.M.J. Tax and R.P.W. Duin. Support vector data description. Machine Learning, 54(1):45-56, 2002.
16. D.C.G. de Veld, M. Skurichina, M.J.H. Witjes, and et.al. Autofluorescence characteristics of healthy oral mucosa at different anatomical sites. Lasers in Surgery and Medicine, submitted, 2003.