Dimensionality Reduction for BCI classification using Riemannian geometry

@inproceedings{Rodrigues2018DimensionalityRF,
  title={Dimensionality Reduction for BCI classification using Riemannian geometry},
  author={P. L. C. Rodrigues and Florent Bouchard and Marco Congedo and Christian Jutten},
  year={2018}
}
In the past few years, there has been an increasing interest among the Brain-Computer Interface research community in classification algorithms that respect the intrinsic geometry of covariance matrices. These methods are based on concepts of Riemannian geometry and, despite demonstrating good performances on several occasions, do not scale well when the… CONTINUE READING