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Improved Graph Embedding for Robust Recognition with outliers
Artifacts in biomedical signal recordings, such as gene expression, sonar image and electroencephalogram, have a great influence on the related research because the artifacts with large value usually break the neighbor structure in the datasets. However, the conventional graph embedding (GE) used fo...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5844917/ https://ncbi.nlm.nih.gov/pubmed/29523793 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-22207-x |
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