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Multi-Model Adaptation Learning With Possibilistic Clustering Assumption for EEG-Based Emotion Recognition
In machine learning community, graph-based semi-supervised learning (GSSL) approaches have attracted more extensive research due to their elegant mathematical formulation and good performance. However, one of the reasons affecting the performance of the GSSL method is that the training data and test...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2022-05-01
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| Colección: | Frontiers in Neuroscience |
| Materias: | |
| Acceso en línea: | https://www.frontiersin.org/articles/10.3389/fnins.2022.855421/full |
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