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SFE-Net: EEG-based Emotion Recognition with Symmetrical Spatial Feature Extraction
In this paper, a spatial folding ensemble network (SFE-Net) is presented for EEG feature extraction and emotion recognition.
Unsupervised Feature Selection via Multi-step Markov Transition Probability
Our main contributions are a novel feature section approach which uses multi-step transition probability to characterize the data structure, and three algorithms proposed from the positive and negative aspects for keeping data structure.
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