Name
Abstract | ||
|---|---|---|
Recent studies on category relations have shown the promising progress in addressing classification problems. Existing works independently consider the known relation and classifier optimization, and thus restrain the room for performance improvement. In this work, a new loss function is proposed to leverage the underlining relations among categories and classifiers. In addition, the bipolar relat... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TMM.2017.2689922 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Feature extraction,Training,Optimization,Semantics,Multimedia communication,Electronic mail,Probabilistic logic | Computer science,Theoretical computer science,Minification,Artificial intelligence,Probabilistic logic,Overfitting,Classifier (linguistics),Computer vision,Graph,Feature extraction,Machine learning,Semantics,Performance improvement | Journal |
Volume | Issue | ISSN |
19 | 8 | 1520-9210 |
Citations | PageRank | References |
1 | 0.35 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yun-Fu Liu | 1 | 277 | 19.65 |
| Jing-Ming Guo | 2 | 830 | 77.60 |
| Lingling An | 3 | 1 | 1.02 |