IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal.
Chun-Hsiang ChuangKong-Yi ChangChih-Sheng HuangTzyy-Ping JungPublished in: CoRR (2021)
Keyphrases
- independent components
- denoising
- independent component analysis
- blind source separation
- image denoising
- independent components analysis
- feature space
- principal component analysis
- total variation
- signal processing
- source separation
- single channel
- factor analysis
- noisy images
- non stationary
- neural network
- graphical models
- pattern recognition
- multiscale
- similarity measure
- image processing
- computer vision
- data mining