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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| Autores principales: | , , , , |
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| Formato: | Libro |
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IEEE,
2023-01-01T00:00:00Z.
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| Número de Clasificación: |
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