Emotion Recognition from Single-Trial EEG Based on Kernel Fisher's Emotion Pattern and Imbalanced Quasiconformal Kernel Support Vector Machine

Lignende værker

• Optimized Projection and Fisher Discriminative Dictionary Learning for EEG Emotion Recognition
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• Low-Resolution Tactile Image Recognition for Automated Robotic Assembly Using Kernel PCA-Based Feature Fusion and Multiple Kernel Learning-Based Support Vector Machine
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• Automatic Defect Detection for TFT-LCD Array Process Using Quasiconformal Kernel Support Vector Data Description
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• Semisupervised Kernel Marginal Fisher Analysis for Face Recognition
  af: Wang, Ziqiang, et al.
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• Major Depression Detection from EEG Signals Using Kernel Eigen-Filter-Bank Common Spatial Patterns
  af: Liao, Shih-Cheng, et al.
  Udgivet: (2017)