Unsupervised 3-D Random Noise Attenuation Using Deep Skip Autoencoder.
Liuqing YangShoudong WangXiaohong ChenOmar M. SaadWei ChenYapo Abolé Serge Innocent ObouéYangkang ChenPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- random noise
- restricted boltzmann machine
- deep belief networks
- unsupervised learning
- deep learning
- deep architectures
- low signal to noise ratio
- semi supervised
- completely unsupervised
- data sets
- real time
- supervised learning
- computer vision
- competitive learning
- data structure
- information bottleneck
- real world
- database