Manifold rewiring for unlabeled imaging in large noise
Thomas Laporte  1@  , André Galligo  2  
1 : Université Côte d'Azur, INRIA, LJAD
Université Côte d'Azur (UCA)
2 : Université Côte d'Azur, INRIA, LJAD
Université de Nice Sophia-Antipolis

We propose a general graph-learningWe propose a general graph-learning framework to recover unknown parameters in Cryo-EM-like problems where the unknown quantity (such as viewing direction) has a manifold structure.
viewing direction) has a manifold structure.


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