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Local conformal autoencoder for standardized data coordinates
We propose a local conformal autoencoder (LOCA) for standardized data coordinates. LOCA is a deep learning-based method for obtaining standardized data coordinates from scientific measurements. Data observations are modeled as samples from an unknown, nonlinear deformation of an underlying Riemannia...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7733838/ https://ncbi.nlm.nih.gov/pubmed/33229581 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2014627117 |
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