| Self-paced hybrid dilated convolutional neural networks | 0 | 0.34 | 2022 |
| Sparse Graph Connectivity for Image Segmentation | 0 | 0.34 | 2020 |
| Sequential Pattern Learning via Kernel Alignment | 0 | 0.34 | 2019 |
| Low-rank sparse subspace for spectral clustering | 32 | 0.71 | 2019 |
| Sparse learning based on clustering by fast search and find of density peaks. | 0 | 0.34 | 2019 |
| Robust Graph Dimensionality Reduction. | 0 | 0.34 | 2018 |
| Unsupervised feature selection by combining subspace learning with feature self-representation. | 4 | 0.39 | 2018 |
| Efficient subspace clustering based on self-representation and grouping effect. | 0 | 0.34 | 2018 |
| Robust Graph Dimensionality Reduction. | 0 | 0.34 | 2018 |
| Hypergraph expressing low-rank feature selection algorithm. | 0 | 0.34 | 2018 |
| Spectral clustering based on hypergraph and self-re-presentation. | 3 | 0.38 | 2017 |
| Unsupervised Spectral Feature Selection with Local Structure Learning | 0 | 0.34 | 2017 |
| One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace. | 2 | 0.38 | 2017 |
| Leverage triple relational structures via low-rank feature reduction for multi-output regression. | 0 | 0.34 | 2017 |
| Low-Rank Feature Reduction and Sample Selection for Multi-output Regression. | 0 | 0.34 | 2016 |
| Unsupervised Hypergraph Feature Selection with Low-Rank and Self-Representation Constraints. | 1 | 0.35 | 2016 |
| Hypergraph Spectral Clustering via Sample Self-Representation. | 0 | 0.34 | 2016 |
| Constructing a Novel Pos-neg Manifold for Global-Based Image Classification. | 0 | 0.34 | 2013 |
