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RDAOT: Robust Unsupervised Deep Sub-Domain Adaptation Through Optimal Transport for Image Classification

In traditional machine learning, the training and testing data are assumed to come from the same independent and identical distributions. This assumption, however, does not hold up in real-world applications, as differences between the training and testing data may have different distributions. Doma...

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Bibliografiset tiedot
Päätekijät: Obsa Gilo, Jimson Mathew, Samrat Mondal, Rakesh Kumar Sanodiya
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2023-01-01
Sarja:IEEE Access
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Linkit:https://ieeexplore.ieee.org/document/10246279/
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