Semi-supervised Multi-view Deep Discriminant Representation Learning.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2021)

引用 89|浏览115
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摘要
Learning an expressive representation from multi-view data is a key step in various real-world applications. In this paper, we propose a semi-supervised multi-view deep discriminant representation learning (SMDDRL) approach. Unlike existing joint or alignment multi-view representation learning methods that cannot simultaneously utilize the consensus and complementary properties of multi-view data ...
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关键词
Redundancy,Feature extraction,Measurement,Machine learning,Taxonomy,Semisupervised learning
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