Combining nearest neighbor data description and structural risk minimization for one-class classification-Reference-Cited by-同舟云学术

Combining nearest neighbor data description and structural risk minimization for one-class classification

Published:2008-01-22 Issue:2 Volume:18 Page:175-183
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Cabral George G.,Oliveira Adriano L. I.,Cahú Carlos B. G.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-007-0169-8.pdf

Reference18 articles.

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2. Japkowicz N, Myers C, Gluck MA (1995) A novelty detection approach to classification. In: Proceedings of the fourteenth international joint conference on artificial intelligence, pp 518–523

3. Duda RO, Hart PE (1973) Pattern classification and scene analysis. Wiley, New York

4. Karacali B, Krim H (2003) Fast minimization of structural risk by nearest neighbor rule. IEEE Trans Neural Netw 14:127–137

5. Cao LJ, Lee HP, Chong WK (2003) Modified support vector novelty detector using training data with outliers. Pattern Recognit Lett 24:2479–2487

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