2020
DOI: 10.1109/access.2020.3035422
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Linear Discriminant Analysis via Pseudo Labels: A Unified Framework for Visual Domain Adaptation

Abstract: This paper deals with the problem of visual domain adaptation in which source domain labeled data is available for training, but the target domain unlabeled data is available for testing. Many recent domain adaptation methods merely concentrate on extracting domain-invariant features via minimizing the distributional and geometrical divergence between domains simultaneously while ignoring within-class and between-class structure properties, especially for the target domain due to the unavailability of labeled … Show more

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Cited by 13 publications
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References 36 publications
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