Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network.
Byeong-Hoo LeeJi-Hoon JeongKyung-Hwan ShimSeong-Whan LeePublished in: ICASSP (2020)
Keyphrases
- end to end
- convolutional neural network
- motor imagery
- high dimensional
- face detection
- eeg signals
- feature space
- classification accuracy
- congestion control
- admission control
- wireless ad hoc networks
- brain computer interface
- pattern recognition
- image classification
- support vector
- eeg data
- dimensionality reduction
- data points
- machine learning
- pattern classification
- high dimensional data
- application layer
- feature set
- multi class
- text localization and recognition