Research map / Label-efficient and robust learning / Recognition and long-tail
Unsupervised Feature Selection with Structured Graph Optimization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| jointly learn similarity graph with c-connected-component constraint during feature selection | embedded unsupervised feature selection · JAFFE, ORL | clustering ACC: more than 7% over RUFS | Helped |
| SOGFS vs RSFS | unsupervised feature selection · BA, USPS, UMIST | clustering ACC: more than 6.4% | Helped |
| select features with SOGFS instead of using all features | K-means clustering · 8 benchmark datasets | clustering ACC: more than 10% on average | Helped |
| vary sparsity parameter gamma (ablation) | SOGFS · ORL, COIL20 | clustering ACC | No clear effect |
Closest papers by meaning
- Structure Regularized Unsupervised Discriminant Feature Analysis (AAAI 2017 · similarity 0.89)
- Unsupervised Feature Selection on Networks: A Generative View (AAAI 2016 · similarity 0.87)
- Differentiable Unsupervised Feature Selection based on a Gated Laplacian (NeurIPS 2021 · similarity 0.87)
- Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing (AAAI 2025 · similarity 0.84)
- Embedded Feature Selection on Graph-Based Multi-View Clustering (AAAI 2024 · similarity 0.83)
- Structural-Entropy-Based Sample Selection for Efficient and Effective Learning (ICLR 2025 · similarity 0.83)
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