A comparison of one-class classifiers for novelty detection in forensic case data

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

Volumn 4881 LNCS, Issue , 2007, Pages 67-76

  Ratle, Frédéric ^a   Kanevski, Mikhail ^a   Terrettaz Zufferey, Anne Laure ^a   Esseiva, Pierre ^a   Ribaux, Olivier ^a  

^a UNIVERSITY OF LAUSANNE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; DRUG PRODUCTS; GAUSSIAN DISTRIBUTION; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

DATA DESCRIPTION ALGORITHMS; DRUG PROFILING; FORENSIC ANALYSIS;

DATA REDUCTION;

EID: 38449093918     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77226-2_8     Document Type: Conference Paper

References (14)

1. Esseiva, P., Dujourdy, L., Anglada, F., Taroni, F., Margot, P.: A methodology for illicit heroin seizures comparison in a drug intelligence perspective using large databases. Forensic Science International 132, 139-152 (2003)
2. Esseiva, P., Anglada, F., Dujourdy, L., Taroni, F., Margot, P., Du Pasquier, E., Dawson, M., Roux, C., Doble, P.: Chemical profiling and classification of illicit heroin by principal component analysis. Calculation of inter sample correlation and artificial neural networks, Talanta 67, 360-367 (2005)
3. th European Symposium on Artificial Neural Networks, d-side publi. (2006)
4. th Int. Conf. on Artificial Neural Networks, Springer, Heidelberg (2006)
5. Tong, C., Svetnik, V.: Novelty detection in mass spectral data using a support vector machine method. In: Proc. of Interface 2002 (2002)
6. Markou, M., Singh, S.: Novelty detection: a review - part 1: statistical approaches. Signal Processing 83, 2481-2497 (2003)
7. Markou, M., Singh, S.: Novelty detection: a review - part 2: neural network based approaches. Signal Processing 83, 2499-2521 (2003)
8. Marsland, S.: Novelty detection in learning systems, Neural Computing Surveys 3, 157-195 (2003)
9. Tax, D.M.J.: One-class classification, Ph.D. thesis, University of Amsterdam (2001)
10. Tax, D.M.J., Duin, R.P.W.: Support Vector Data Description. Machine Learning 54, 45-66 (2004)
11. Schölkopf, B., Williamson, R., Smola, A., Shawe-Taylor, J., Piatt, J.: Support vector method for novelty detection. Advances in Neural Information Processing Systems 12 (2000)
12. Tax, D.M.J.: Combining one-class classifiers. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, vol. 2096, Springer, Heidelberg (2001)
13. Guéniat, O., Esseiva, P.: Le Profilage de l'Héroïne et de la Cocaïne, Presses polytechniques et universitaires romandes, Lausanne (2005)
14. Tax, D.M.J.: DDtools, the Data Description Toolbox for Matlab, version 1.5.7 (2007)