Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization

13 May 2019Yuying XingGuoxian YuCarlotta DomeniconiJun WangZili ZhangMaozu Guo

Multi-view Multi-instance Multi-label Learning(M3L) deals with complex objects encompassing diverse instances, represented with different feature views, and annotated with multiple labels. Existing M3L solutions only partially explore the inter or intra relations between objects (or bags), instances, and labels, which can convey important contextual information for M3L... (read more)

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