Low Rank Multi-Label Classification with Missing Labels

Multi-label classification has attracted significant interests in various domains. In many applications, only partial labels are available and the others are missing or not provided. How to design an accurate multi-label classifier with such partial labeled data is a challenging problem. In this paper, we propose a Low Rank multi-label classification with Missing Label method (LRML), which joints label matrix recovery and multi-label classifier...