Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation
IEEE Transactions on Knowledge and Data Engineering, pp. 952-970, 2020.
Constrained Concept Factorization (CCF) yields the enhanced representation ability over CF by incorporating label information as additional constraints, but it cannot classify and group unlabeled data appropriately. Minimizing the difference between the original data and its reconstruction directly can enable CCF to model a small noisy pe...More
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