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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Detalles Bibliográficos
Autores principales: Li, Peiyang, Zhou, Weiwei, Huang, Xiaoye, Zhu, Xuyang, Liu, Huan, Ma, Teng, Guo, Daqing, Yao, Dezhong, Xu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844917/
https://www.ncbi.nlm.nih.gov/pubmed/29523793
http://dx.doi.org/10.1038/s41598-018-22207-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844917/
https://www.ncbi.nlm.nih.gov/pubmed/29523793
http://dx.doi.org/10.1038/s41598-018-22207-x

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