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View all- Ko WJeong SSong SSuk H(2024)EEG-Oriented Self-Supervised Learning With Triple Information Pathways NetworkIEEE Transactions on Cybernetics10.1109/TCYB.2024.341084454:11(6495-6508)Online publication date: Nov-2024
Semi-supervised learning (SSL) has been widely studied in recent years, which aims to improve the performance of supervised learning by utilizing unlabeled data. However, the presence of noisy labels on labeled data is an inevitable consequence of ...
Different from deep learning with large scale supervision, few-shot learning aims to learn the samples’ characteristics from few labeled examples. Apparently, few-shot learning is more in line with the visual cognitive mechanism of the human ...
We compare the quality of data captured by a professional and a low cost EEG headset.The results are based on the comparison of the success rate of a BCI system.Higher precision and less variance are found on low cost Emotiv EPOC headset datasets.The ...
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