Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes
Wrapped Gaussian Process Regression on Riemannian Manifolds
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use WGP regression with a tangent-space geodesic regression prior on Corpus Callosum shapes | WGP regression · Corpus Callosum shapes | predictive mean | No clear effect |
| Subsample the DTI tensor field to 20% of its original data | WGP regression · DTI tensor field upsampling | prediction uncertainty | Hurt |
| Use a geodesic submanifold regression prior instead of a Fréchet mean prior (ablation) | WGP regression · DTI tensor field upsampling | prediction | No clear effect |
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