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Multi-View Multi-Instance Multi-Label Learning based on Collaborative Matrix Factorization
To preserve the intrinsic structure of the data matrices, M3Lcmf collaboratively factorizes them into low-rank matrices, explores the latent relationships between bags, instances, and labels, and selectively merges the data matrices.
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