Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation.
Yang MengRonghua ShangFanhua ShangLicheng JiaoShuyuan YangRustam StolkinPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- data representation
- nonnegative matrix factorization
- semi supervised clustering
- pairwise constraints
- semi supervised
- semi supervised classification
- subspace learning
- label propagation
- data representations
- constrained clustering
- dimensionality reduction
- bregman divergences
- semi supervised learning
- graph kernels
- business intelligence
- negative matrix factorization
- xml documents
- spectral clustering
- weighted graph
- active learning
- pairwise
- database
- structured data
- unlabeled data
- tensor decomposition
- xml schema
- representational power
- normalized cut
- similarity search
- labeled data
- collaborative filtering
- supervised learning
- least squares
- metadata