A boundary method for outlier detection based on support vector domain description

Author:

Guo S.M.,Chen L.C.,Tsai J.S.H.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference10 articles.

1. A survey of outlier detection methodologies;Hodge;Artif Intell Rev,2004

2. Novelty detection using extreme value statistics;Roberts;Vision Image Signal Process. IEE Proc.,1999

3. On estimation of a probability density function and mode;Parzen;Ann. Math. Stat.,1962

4. D.M.J. Tax, One-class Classification, Ph.D. Thesis, Delft University of Technology, Delft, 2001.

5. Support vector domain description;Tax;Pattern Recognition Lett.,1999

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