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Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-valued Data
Performing large scale hypothesis testing on brain imaging data to identify group-wise differences (e.g., between healthy and diseased subjects) typically leads to a large number of tests (one per voxel). Multiple testing adjustment (or correction) is necessary to control false positives, which may...
में बचाया:
| में प्रकाशित: | Conf Comput Vis Pattern Recognit Workshops |
|---|---|
| मुख्य लेखकों: | , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
2017
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7191643/ https://ncbi.nlm.nih.gov/pubmed/32355573 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPRW.2017.99 |
| टैग : |
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