Søren Hauberg

Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models

2018 · arXiv (Cornell University)

Latent variable models (LVMs) learn probabilistic models of data manifolds lying in an \emph{ambient} Euclidean space. In a number of applications, a priori known spatial constraints can shrink the ambient space into a considerably smaller …