Feature extraction from the Hermitian manifold for Brain-Computer Interfaces

Xu, J.; Jayaram, V.; Schölkopf, B; Grosse-Wentrup, M

doi:10.1109/NER.2019.8717011

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Feature extraction from the Hermitian manifold for Brain-Computer Interfaces

MPS-Authors

/persons/resource/persons250167

Xu, J.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons191970

Jayaram, V.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons84193

Schölkopf, B
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons83948

Grosse-Wentrup, M
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Xu, J., Jayaram, V., Schölkopf, B., & Grosse-Wentrup, M. (2019). Feature extraction from the Hermitian manifold for Brain-Computer Interfaces. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER 2019) (pp. 965-968). Piscataway, NJ: IEEE. doi:10.1109/NER.2019.8717011.

Cite as: https://hdl.handle.net/21.11116/0000-0006-E4DC-1

Abstract

There is no abstract available