A New Canonical Log-Euclidean Kernel for Symmetric Positive Definite Matrices for EEG Analysis (Oct 2024)
The CLE provides a good choice as a kernel in time-critical applications and fills a gap in the kernel methods of the log-euclidean framework.
Authors
- Vera Röhr (ORCID: https://orcid.org/0000-0003-2933-156X)
- Benjamin Blankertz (ORCID: https://orcid.org/0000-0002-2437-4846)
- G. Berg (ORCID: https://orcid.org/0009-0009-3675-641X)
- Daniel Platt (ORCID: https://orcid.org/0000-0001-9805-6579)
Institutions
- Technische Universität Berlin (DE)
- Imperial College London (GB)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/tbme.2024.3483936
- Citations
- 2
- Primary Topic
- Blind Source Separation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.70