Improving Generalized Zero-Shot Learning SSVEP Classification Performance From Data-Efficient Perspective

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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Bibliographic Details
Main Authors: Xietian Wang, Aiping Liu, Le Wu, Ling Guan, Xun Chen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Steady-state visual evoked potential
generalized zero-shot learning
brain-computer interface
Online Access:https://ieeexplore.ieee.org/document/10283906/

Internet

https://ieeexplore.ieee.org/document/10283906/

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