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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021
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| Online Access: | https://hdl.handle.net/1721.1/136709 |
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Non-parametric Mixed-Manifold Products using Multiscale Kernel Densities
Published 2021
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