Abstract: In this paper we propose a representation learning framework that combines semi supervised learning theory algorithms with domain adaptive methods. The model is trained with images of ...
Abstract: Deep learning-based fault diagnosis method has achieved promising results under close-set assumption where the test data label set is the same as the training data label set. However, the ...
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