Deep learning based semi-supervised learning algorithms have shown promising results in recent years. However, they are not yet practical in real semi-supervised learning scenarios, such as medical image processing, hyper-spectral image classification, network traffic recognition, and document recognition.
‘Meta-Semi’ machine learning approach outperforms state-of-the-art algorithms in deep learning tasks
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