Abstract: A stochastic finite-difference time-domain approach for analyzing geometrical and media uncertainty is described. The proposed method can convert the geometry uncertainties into media ...
Abstract: Unsupervised domain adaptation is a classification problem that uses labeled source domain to help unlabeled target domain achieve better classification results. The main approach to ...
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