A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers

Mingrui Wu, Jieping Ye. A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers. IEEE Trans. Pattern Anal. Mach. Intell., 31(11):2088-2092, 2009. [doi]

@article{WuY09,
  title = {A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers},
  author = {Mingrui Wu and Jieping Ye},
  year = {2009},
  doi = {10.1109/TPAMI.2009.24},
  url = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2009.24},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/WuY09},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
  volume = {31},
  number = {11},
  pages = {2088-2092},
}