| Autor: |
Hongbo Li, Xin Li, Boning Liu, Kaiji Mao, Hemin Xu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Systems and Soft Computing, Vol 6, Iss , Pp 200138- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2772-9419 |
| DOI: |
10.1016/j.sasc.2024.200138 |
| Popis: |
Cross media knowledge information retrieval provides strong support for information processing and utilization in the information society, but there are problems such as heterogeneity in cross media knowledge information. Therefore, a cross media knowledge information retrieval model using D-S evidence theory is proposed, which involves using approximate calculation methods to improve this theory for information fusion, reducing computational complexity, and using deep networks for fine-grained information retrieval to improve retrieval accuracy. The results showed that the improved theory enhanced computational efficiency by about 27.23 %. The memory usage was |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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