Matrix Co-completion for Multi-label Classification with Missing Features and Labels

23 May 2018 Miao Xu Gang Niu Bo Han Ivor W. Tsang Zhi-Hua Zhou Masashi Sugiyama

We consider a challenging multi-label classification problem where both feature matrix $\X$ and label matrix $\Y$ have missing entries. An existing method concatenated $\X$ and $\Y$ as $[\X; \Y]$ and applied a matrix completion (MC) method to fill the missing entries, under the assumption that $[\X; \Y]$ is of low-rank... (read more)

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