Improving Generalized Zero-Shot Learning SSVEP Classification Performance From Data-Efficient Perspective
Generalized zero-shot learning (GZSL) has significantly reduced the training requirements for steady-state visual evoked potential (SSVEP) based brain-computer interfaces (BCIs). Traditional methods require complete class data sets for training, but GZSL allows for only partial class data sets, divi...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2023-01-01
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| coleção: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10283906/ |
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