Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...
Abstract: Machine learning algorithms are driven by data. However, the quantity and quality of data in industries are limited due to multiple process constraints. Generating artificial data and ...
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