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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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| izdano v: | Front Neurosci |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7550683/ https://ncbi.nlm.nih.gov/pubmed/33132835 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.586149 |
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