Dynamic Double Classifiers Approximation for Cross-Domain Recognition
IEEE Transactions on Cybernetics(2022)
摘要
In general, existing cross-domain recognition methods mainly focus on changing the feature representation of data or modifying the classifier parameter and their efficiencies are indicated by the better performance. However, most existing methods do not simultaneously integrate them into a unified optimization objective for further improving the learning efficiency. In this article, we propose a n...
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关键词
Learning systems,Optimization,Training,Machine learning,Automation,Speech recognition,Estimation
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