Name
Abstract | ||
|---|---|---|
•A semi-supervised and multi-label feature learning framework is proposed.•The sharing information among multiple labels is utilized.•The proposed algorithm is suitable for large-scale dataset.•We propose an efficient iterative algorithm to optimize the objective function. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jvcir.2017.01.030 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Semi-supervised learning,Feature selection,Multi-label learning,Web page annotation,Image annotation | Laplacian matrix,Data mining,Semi-supervised learning,Automatic image annotation,Social network,Web page,Subspace topology,Feature selection,Computer science,Image retrieval,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
48 | C | 1047-3203 |
Citations | PageRank | References |
2 | 0.35 | 26 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiqiang Zeng | 1 | 139 | 16.35 |
| Xiaodong Wang | 2 | 35 | 5.19 |
| Yuming Chen | 3 | 2 | 2.04 |