Name
Abstract | ||
|---|---|---|
Multimedia data with various modalities, such as image and text, are huge in quantity but have inconsistent distribution and representation. Many works have been done to break the boundary between image and text to measure their correlation. However, they focus on either the transformation to common subspace or the unidirectional generation from one to another individually, which cannot fully expl... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TMM.2018.2877885 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Correlation,Bridges,Logic gates,Semantics,Task analysis,Cognition,Feeds | Modalities,Pattern recognition,Subspace topology,Computer science,Exploit,Correlation,Artificial intelligence,Generative grammar,Generality,Machine learning,Modal,Scalability | Journal |
Volume | Issue | ISSN |
21 | 6 | 1520-9210 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxin Peng | 1 | 1122 | 74.90 |
| Jinwei Qi | 2 | 152 | 9.24 |