Name
Abstract | ||
|---|---|---|
The technique of local learning that recognizes each sample by its predefined neighbors has been successfully applied in unsupervised learning fields. However, how to determine the proper neighbors of a sample is a challenging problem. Inappropriate selection of neighbors will drastically degrade the performance of local learning methods. In this study, a novel subspace representation method based... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISKE54062.2021.9755411 | 2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) |
Keywords | DocType | ISBN |
Knowledge engineering,Adaptation models,Adaptive systems,Benchmark testing,Intelligent systems,Unsupervised learning,Optimization | Conference | 978-1-6654-0553-9 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yangbo Wang | 1 | 0 | 0.34 |
| Can Gao | 2 | 0 | 1.69 |
| Jie Zhou | 3 | 2103 | 190.17 |
| Zhihui Lai | 4 | 1204 | 76.03 |