Name
Abstract | ||
|---|---|---|
The understanding of web images has been a hot research topic in both artificial intelligence and multimedia content analysis domains. The web images are composed of various complex foregrounds and backgrounds, which makes the design of an accurate and robust learning algorithm a challenging task. To solve the above significant problem, first, we learn a cross-modality bridging dictionary for the ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TMM.2019.2903448 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Semantics,Visualization,Dictionaries,Task analysis,Probability distribution,Convolutional neural networks,Bridges | Task analysis,Pattern recognition,Computer science,Visualization,Convolutional neural network,Bridging (networking),Probability distribution,Convex function,Artificial intelligence,Cross modality,Machine learning,Semantics | Journal |
Volume | Issue | ISSN |
21 | 10 | 1520-9210 |
Citations | PageRank | References |
15 | 0.55 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenggang Yan | 1 | 410 | 32.87 |
| Liang Li | 2 | 342 | 24.75 |
| Chunjie Zhang | 3 | 482 | 39.70 |
| Bingtao Liu | 4 | 27 | 2.88 |
| Yongdong Zhang | 5 | 2544 | 166.91 |
| Qionghai Dai | 6 | 3904 | 215.66 |