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Found 2 papers, 1 papers with code
Learning sparse auto-encoders for green AI image coding
Recently, convolutional auto-encoders (CAE) were introduced for image coding.
Semi-supervised classification using a supervised autoencoder for biomedical applications
Experiments show that the SSAE outperforms Label Propagation and Spreading and the Fully Connected Neural Network both on a synthetic dataset and on two real-world biological datasets.
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