dc.contributor.author |
Jayaram, Vinay |
|
dc.date.accessioned |
2020-09-28T10:17:20Z |
|
dc.date.available |
2020-09-28T10:17:20Z |
|
dc.date.issued |
2020 |
|
dc.identifier.issn |
1741-2552 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/107207 |
|
dc.language.iso |
en |
en |
dc.publisher |
Iop Publishing Ltd |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1088/1741-2552/ab839e |
|
dc.subject.ddc |
600 |
de_DE |
dc.subject.ddc |
610 |
de_DE |
dc.subject.ddc |
570 |
de_DE |
dc.title |
Tangent space spatial filters for interpretable and efficient Riemannian classification |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20200715072417_00979 |
|
utue.personen.roh |
Xu, Jiachen |
|
utue.personen.roh |
Grosse-Wentrup, Moritz |
|
utue.personen.roh |
Jayaram, Vinay |
|
dcterms.isPartOf.ZSTitelID |
Journal of Neural Engineering |
de_DE |
dcterms.isPartOf.ZS-Issue |
Article 026043 |
de_DE |
dcterms.isPartOf.ZS-Volume |
17 |
de_DE |
utue.fakultaet |
Sonstige |
|