Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification.

IEEE Transactions on Neural Networks and Learning Systems(2018)

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摘要
We propose a robust inductive semi-supervised label prediction model over the embedded representation, termed adaptive embedded label propagation with weight learning (AELP-WL), for classification. AELP-WL offers several properties. First, our method seamlessly integrates the robust adaptive embedded label propagation with adaptive weight learning into a unified framework. By minimizing the recons...
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关键词
Robustness,Adaptation models,Data models,Manifolds,Feature extraction,Sparse matrices,Predictive models
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