Outliers detection in non-stationary time-series: Support vector machine versus principal component analysis

Paulo Gil, Hugo Martins, Alberto Cardoso, Luís Brito Palma. Outliers detection in non-stationary time-series: Support vector machine versus principal component analysis. In 12th IEEE International Conference on Control and Automation, ICCA 2016, Kathmandu, Nepal, June 1-3, 2016. pages 701-706, IEEE, 2016. [doi]

@inproceedings{GilMCP16,
  title = {Outliers detection in non-stationary time-series: Support vector machine versus principal component analysis},
  author = {Paulo Gil and Hugo Martins and Alberto Cardoso and Luís Brito Palma},
  year = {2016},
  doi = {10.1109/ICCA.2016.7505361},
  url = {http://dx.doi.org/10.1109/ICCA.2016.7505361},
  researchr = {https://researchr.org/publication/GilMCP16},
  cites = {0},
  citedby = {0},
  pages = {701-706},
  booktitle = {12th IEEE International Conference on Control and Automation, ICCA 2016, Kathmandu, Nepal, June 1-3, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-1738-6},
}