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Improving EEG-Based Emotion Classification Using Conditional Transfer Learning
To overcome the individual differences, an accurate electroencephalogram (EEG)-based emotion-classification system requires a considerable amount of ecological calibration data for each individual, which is labor-intensive and time-consuming. Transfer learning (TL) has drawn increasing attention in...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2017-06-01
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| Colecção: | Frontiers in Human Neuroscience |
| Assuntos: | |
| Acesso em linha: | http://journal.frontiersin.org/article/10.3389/fnhum.2017.00334/full |
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