Geometric Feature Learning for Functional Data Valued on the Symmetric Positive Definite Manifold
A functional neural network for learning trajectories on the Riemannian manifold of symmetric positive definite (SPD) matrices, termed MatFAE, which features intrinsic layers that map manifold-valued functions to Euclidean vector-valued functions, followed by a functional layer that projects them into a finite-dimensio...