Auto-Weighted Multi-View Discriminative Metric Learning Method With Fisher Discriminative and Global Structure Constraints for Epilepsy EEG Signal Classification

Metric learning is a class of efficient algorithms for EEG signal classification problem. Usually, metric learning method deals with EEG signals in the single view space. To exploit the diversity and complementariness of different feature representations, a new auto-weighted multi-view discriminativ...

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Detalles Bibliográficos
Autores principales: Xue, Jing, Gu, Xiaoqing, Ni, Tongguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550683/
https://www.ncbi.nlm.nih.gov/pubmed/33132835
http://dx.doi.org/10.3389/fnins.2020.586149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550683/
https://www.ncbi.nlm.nih.gov/pubmed/33132835
http://dx.doi.org/10.3389/fnins.2020.586149

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