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Geometric Feature Learning for Functional Data Valued on the Symmetric Positive Definite Manifold

arXiv cs.LG ↗ · 2d ago Cached

The paper introduces MatFAE, a functional neural network for learning representations from trajectories on the symmetric positive definite (SPD) manifold, with applications in neuroimaging and other scientific domains.

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functional-data

Geometric Feature Learning for Functional Data Valued on the Symmetric Positive Definite Manifold

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