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Stephane Oudard

1 accepted papers

2017

Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data

NeurIPS 2017poster

We introduce a hierarchical model which allows to estimate a group-average piecewise-geodesic trajectory in the Riemannian space of measurements and individual variability. This model falls into the well defined mixed-effect models. The subject-specific trajectories are defined through spatial and t…

Cited by 16SourcePDFScholar