Motor imagery EEG recognition based on WPD-CSP and KF-SVM in brain computer interfaces
BH Yang, T Wu, Q Wang, ZJ Han - Applied Mechanics and …, 2014 - Trans Tech Publ
A recognition method based on Wavelet Packet Decomposition-Common Spatial Patterns
(WPD-CSP) and Kernel Fisher Support Vector Machine (KF-SVM) is developed and used for …
(WPD-CSP) and Kernel Fisher Support Vector Machine (KF-SVM) is developed and used for …
New KF-PP-SVM classification method for EEG in brain-computer interfaces
B Yang, Z Han, P Zan, Q Wang - Bio-Medical Materials and …, 2014 - content.iospress.com
Classification methods are a crucial direction in the current study of brain-computer
interfaces (BCIs). To improve the classification accuracy for electroencephalogram (EEG) …
interfaces (BCIs). To improve the classification accuracy for electroencephalogram (EEG) …
A new classification method based on KF-SVM in Brain Computer Interfaces
Y Banghua, H Zhijun, W Qian… - 2013 Sixth International …, 2013 - ieeexplore.ieee.org
This paper proposes a novel classification method named KF-SVM (Kernel Fisher, Support
Vector Machine), which is used for the EEG (Electroencephalography) classification of two …
Vector Machine), which is used for the EEG (Electroencephalography) classification of two …
A sparse support vector machine classifier with nonparametric discriminants
This paper introduces a novel Sparse Support Vector Machine model with Kernel
Nonparametric Discriminants (SSVMKND) which combines data distribution information …
Nonparametric Discriminants (SSVMKND) which combines data distribution information …