Fundamental Sampling Patterns for Low-rank Multi-View Data Completion

Pattern Recognition(2020)

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摘要
•A geometrical sampling pattern is obtained that guarantees the retrieval of the low-rank multi-view data in certain ways.•An analysis is proposed that incorporates several rank constraints of the multi-view data simultaneously.•Combinatorial analysis is proposed to find the sampling rate that guarantees the obtained geometrical sampling pattern hold with high probability.
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关键词
Multi-view learning,Low-rank matrix completion,Sampling pattern,Sampling rate,Non-convex optimization,Rank decomposition
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