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High-speed Low-consumption sEMG-based Transient-state micro-Gesture Recognition
The accuracy of the proposed SNN is 83. 85% and 93. 52% on the two datasets respectively.
Entity Matching by Pool-based Active Learning
This method needs to manually label only a small number of valuable samples, and use these samples to build a model with high quality.
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