Multi-View Clustering With Consistent Local Structure-Guided Graph Fusion.

Label-Weighted Graph-Based Learning for Semi-Supervised Classification Under Label Noise.

Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation.

Incomplete Multi-View Clustering With Sample-Level Auto-Weighted Graph Fusion.

Semi-supervised multi-view clustering by label relaxation based non-negative matrix factorization.

A convergence algorithm for graph co-regularized transfer learning.

Incomplete Multiview Clustering With Cross-View Feature Transformation.

Co-consensus semi-supervised multi-view learning with orthogonal non-negative matrix factorization.

Label prediction based constrained non-negative matrix factorization for semi-supervised multi-view classification.

Incomplete multi-view clustering with incomplete graph-regularized orthogonal non-negative matrix factorization.

Uniform Distribution Non-Negative Matrix Factorization for Multiview Clustering.

Semi-supervised multi-view learning by using label propagation based non-negative matrix factorization.

Co-attention fusion based deep neural network for Chinese medical answer selection.

Semi-supervised multi-view clustering with Graph-regularized Partially Shared Non-negative Matrix Factorization.

Multi-view clustering by non-negative matrix factorization with co-orthogonal constraints.

Partially Shared Semi-supervised Deep Matrix Factorization with Multi-view Data.

Nonnegative Matrix Factorization with Fixed L2-Norm Constraint.