Research map / Learning theory and algorithms / Kernels and regression theory
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the PF kernel instead of the strongest reported baseline, SW | SVM · MPEG7 | accuracy (%): 76.83 ± 3.75 -> 80.00 ± 4.08 | Helped |
| Use the PF kernel instead of the strongest reported baseline, SW | SVM · Orbit | accuracy (%): 83.60 ± 0.87 -> 85.87 ± 0.77 | Helped |
| Use the PF kernel instead of the strongest reported baselines, PWG or SW | SVM · Hemoglobin classification | accuracy (%): 88.89 -> 97.53 | Helped |
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