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A rotation based regularization method for semi-supervised learning
In manifold learning, the intrinsic geometry of the manifold is explored and preserved by identifying the optimal local neighborhood around each observation. It is well known that when a Riemannian manifold is unfolded correctly, the observations lying spatially near to the manifold, should remain n...
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| Gepubliceerd in: | Pattern Anal Appl |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Springer London
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7781196/ https://ncbi.nlm.nih.gov/pubmed/33424433 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10044-020-00947-9 |
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