Joint Label Prediction Based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation

IEEE Transactions on Knowledge and Data Engineering, pp. 952-970, 2020.

Cited by: 25|Bibtex|Views214|DOI:https://doi.org/10.1109/TKDE.2019.2893956
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Other Links: dblp.uni-trier.de|arxiv.org

Abstract:

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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