SPD-CNN: A plain CNN-based model using the symmetric positive definite matrices for cross-subject EEG classification with meta-transfer-learning

Research article (Frontiers in Neurorobotics, 2022) · cited 19× · AI/ML
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SPD-CNN: A plain CNN-based model using the symmetric positive definite matrices for cross-subject EEG classification with meta-transfer-learning

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SPD-CNN: A plain CNN-based model using the symmetric positive definite matrices for cross-subject EEG classification with meta-transfer-learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). SPD-CNN: A plain CNN-based model using the symmetric positive definite matrices for cross-subject EEG classification with meta-transfer-learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/spd-cnn-a-plain-cnn-based-model-using-the-symmetric-positive-definite-matrices-for-cross-subject-eeg-classification-with
MLA “SPD-CNN: A plain CNN-based model using the symmetric positive definite matrices for cross-subject EEG classification with meta-transfer-learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spd-cnn-a-plain-cnn-based-model-using-the-symmetric-positive-definite-matrices-for-cross-subject-eeg-classification-with.
BibTeX @misc{4ortxyz_spd-cnn-a-plain-cnn-based-model-using-the-symmetric-positive-definite-matrices-for-cross-subject-eeg-classification-with_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SPD-CNN: A plain CNN-based model using the symmetric positive definite matrices for cross-subject EEG classification with meta-transfer-learning}}, year = {2026}, url = {https://4ort.xyz/entity/spd-cnn-a-plain-cnn-based-model-using-the-symmetric-positive-definite-matrices-for-cross-subject-eeg-classification-with}, note = {Accessed: 2026-05-24}}
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