CS-SVDD Based Outlier Detection for Imperfectly Labeled Data

@inproceedings{Wadne2014CSSVDDBO,
  title={CS-SVDD Based Outlier Detection for Imperfectly Labeled Data},
  author={Vinod S. Wadne and Alka P. Beldar and Suvarna V. Nalawad},
  year={2014}
}
  • Vinod S. Wadne, Alka P. Beldar, Suvarna V. Nalawad
  • Published 2014
Outlier detection is an important problem which has been studied within various application domains and research areas. Most of the previous methods assume that data examples are exactly categorized as either normal class or negative class. However, in many applications data are imperfectly labeled due to various error and noise. These kinds of data can… CONTINUE READING