Adaptive graph weighting for multi-view dimensionality reduction.
Signal Processing(2019)
摘要
•We presented an adaptive graph weighting scheme to conduct semi-supervised multi-view dimensional reduction.•Our proposed scheme can be well extended to an unsupervised version within a unified framework.•Extensive experiments on varying benchmarks illustrate that our proposed scheme is superior to several state-of-the-arts.
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关键词
Multi-view learning,Adaptive graph weighting,Dimensionality reduction,Semi-supervised learning,Unsupervised learning
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