Comparison between the Canonical Correlation Analysis and the Support Vector Machines as classification algorithms in an SSVEP-based Brain-Computer Interface

Jesiis Sagahon-Azua, Blanca Tovar Corona, Jesus A. Zuniga-Valladares. Comparison between the Canonical Correlation Analysis and the Support Vector Machines as classification algorithms in an SSVEP-based Brain-Computer Interface. In 14th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2017, Mexico City, Mexico, October 20-22, 2017. pages 1-6, IEEE, 2017. [doi]

@inproceedings{Sagahon-AzuaTZ17,
  title = {Comparison between the Canonical Correlation Analysis and the Support Vector Machines as classification algorithms in an SSVEP-based Brain-Computer Interface},
  author = {Jesiis Sagahon-Azua and Blanca Tovar Corona and Jesus A. Zuniga-Valladares},
  year = {2017},
  doi = {10.1109/ICEEE.2017.8108847},
  url = {https://doi.org/10.1109/ICEEE.2017.8108847},
  researchr = {https://researchr.org/publication/Sagahon-AzuaTZ17},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {14th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2017, Mexico City, Mexico, October 20-22, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-3406-6},
}