Online deep transferable dictionary learning
Pattern Recognition(2021)
摘要
•We propose a two-level affiliation regularizer to reveal the local instance-level and global cluster-level affiliations.•We propose an online deep transferable dictionary learning method to harness knowledge from incoming unlabeled data and previous labeled data.•We verify the feasibility of our ODTDL approach in both online SSL and UDA scenarios.
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关键词
Online transferable dictionary learning,Semi-supervised learning,Domain adaptation
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