Adaptive Component Embedding for Domain Adaptation.

IEEE Transactions on Cybernetics(2021)

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摘要
Domain adaptation is suitable for transferring knowledge learned from one domain to a different but related domain. Considering the substantially large domain discrepancies, learning a more generalized feature representation is crucial for domain adaptation. On account of this, we propose an adaptive component embedding (ACE) method, for domain adaptation. Specifically, ACE learns adaptive compone...
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关键词
Geometry,Manifolds,Task analysis,Kernel,Neural networks,Cybernetics,Hilbert space
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