0. 版权声明
- 该笔记来源于 Review: Cross-media analysis and reasoning: advances and directions [1];
- 该笔记不以盈利为目的,仅用于个人学习及研究讨论,便于更好地理解文章内容;
- 如有侵权,请与本人联系([email protected]),经核实后即刻删除;
- 本文采用 署名-非商业性使用-禁止演绎 4.0 国际 (CC BY-NC-ND 4.0) 协议发布;
1. 为什么阅读本文?
- 综述:为研究者提供参考资料,解读跨媒体分析推理的研究进展和未来的研究方向;
- 主要作者:黄庆明、黄铁军、高文;
- 本文发表于中国工程院院刊,即浙大学报C辑 Frontiers of Information Technology & Electronic Engineering, FITEE(《信息与电子工程前沿》);
- Cross-media analysis and reasoning:
- theory and model for cross-media uniform representation;
- cross-media correlation understanding and deep mining;
- cross-media knowledge graph construction and learning methodologies;
- cross-media knowledge evolution and reasoning;
- cross-media description and generation;
- cross-media intelligent engines;
- cross-media intelligent applications.
References
[1] Y. Peng et al., “Cross-media analysis and reasoning: advances and directions,” Front. Inf. Technol. Electron. Eng., vol. 18, no. 1, pp. 44–57, Jan. 2017.