Non-parametric Mixed-Manifold Products using Multiscale Kernel Densities

© 2019 IEEE. We extend the core operation of non-parametric belief propagation (NBP), also known as multi-scale sequential Gibbs sampling, to approximate products of kernel density estimated beliefs that reside on some manifold. The original algorithm, though multidimensional, implicitly assumes the...

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Bibliographic Details
Main Authors: Fourie, Dehann (Author), Teixeira, Pedro Vaz (Author), Leonard, John J (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: IEEE, 2021-12-13T16:26:39Z.
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