Learning Theory for Estimation of Animal Motion Submanifolds

This paper describes the formulation and experimental testing of a novel method for the estimation and approximation of submanifold models of animal motion. It is assumed that the animal motion is supported on a configuration manifold $Q$ that is a smooth, connected, regularly embedded Riemannian su...

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Hauptverfasser:	Powell, Nathan, Kurdila, Andrew
Format:	Artikel
Sprache:	eng
Schlagworte:	Mathematics - Dynamical Systems Statistics - Machine Learning
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