Using robust principal component analysis to alleviate day-to-day variability in EEG based emotion classification

Ping-Keng Jao, Yuan-Pin Lin, Yi-Hsuan Yang, Tzyy-Ping Jung. Using robust principal component analysis to alleviate day-to-day variability in EEG based emotion classification. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, August 25-29, 2015. pages 570-573, IEEE, 2015. [doi]

@inproceedings{JaoLYJ15,
  title = {Using robust principal component analysis to alleviate day-to-day variability in EEG based emotion classification},
  author = {Ping-Keng Jao and Yuan-Pin Lin and Yi-Hsuan Yang and Tzyy-Ping Jung},
  year = {2015},
  doi = {10.1109/EMBC.2015.7318426},
  url = {http://dx.doi.org/10.1109/EMBC.2015.7318426},
  researchr = {https://researchr.org/publication/JaoLYJ15},
  cites = {0},
  citedby = {0},
  pages = {570-573},
  booktitle = {37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, August 25-29, 2015},
  publisher = {IEEE},
  isbn = {978-1-4244-9271-8},
}