Recently, distributed semi-supervised learning (DSSL) algorithms have sh...
Autonomous driving has been at the forefront of public interest, and a
p...
Electroencephalography (EEG) signals recordings when people reading natu...
Word embeddings can reflect the semantic representations, and the embedd...
Generative adversarial networks (GANs) have been a popular deep generati...
The current reward learning from human preferences could be used for
res...
The new perspective in visual classification aims to decode the feature
...
Technologies of the Internet of Things (IoT) facilitate digital contents...
Brain-Computer Interface (BCI) is a powerful communication tool between ...
Dynamic texture (DT) exhibits statistical stationarity in the spatial do...
In this paper, we investigate the use of global information to speed up ...
Predicting a driver's cognitive state, or more specifically, modeling a
...
Inherent fuzzy entropy is an objective measurement of electroencephalogr...
Conventional approaches used supervised learning to estimate off-line wr...