| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6024369 | NeuroImage | 2016 | 12 Pages |
Abstract
RSLDA therefore yields increased classification accuracy as well as a better interpretation of neuroimaging data. Since both results are highly favorable, we suggest to apply RSLDA for various classification problems within neuroimaging and beyond.
Keywords
Related Topics
Life Sciences
Neuroscience
Cognitive Neuroscience
Authors
Johannes Höhne, Daniel Bartz, Martin N. Hebart, Klaus-Robert Müller, Benjamin Blankertz,