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Cross-covariance based affinity for graphs
The accuracy of graph based learning techniques relies on the underlying topological structure and affinity between data points, which are assumed to lie on a smooth Riemannian manifold. However, the assumption of local linearity in a neighborhood does not always hold true. Hence, the Euclidean dist...
Uloženo v:
| Vydáno v: | Appl Intell (Dordr) |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer US
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7677445/ https://ncbi.nlm.nih.gov/pubmed/34764570 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10489-020-01986-9 |
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