Weakly supervised label distribution learning based on transductive matrix completion with sample correlations.

Pattern Recognition Letters(2019)

引用 15|浏览39
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摘要
•The matrix completion is firstly applied to weakly supervised LDL problems.•Smoothness assumption is utilized to capture the correlation among samples.•Our transductive LDL algorithm outperforms better than existing algorithms.
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关键词
Weakly supervised learning,Label distribution learning,Matrix completion,Sample correlation
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