Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions

@inproceedings{Ding2016RobustMS,
  title={Robust Multi-View Subspace Learning through Dual Low-Rank Decompositions},
  author={Zhengming Ding and Yun Fu},
  booktitle={AAAI},
  year={2016}
}
Multi-view data is highly common nowadays, since various view-points and different sensors tend to facilitate better data representation. However, data from different views show a large divergence. Specifically, one sample lies in two kinds of structures, one is class structure and the other is view structure, which are intertwined with one another in the original feature space. To address this, we develop a Robust Multi-view Subspace Learning algorithm (RMSL) through dual low-rank… CONTINUE READING

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