0. 版權聲明
- 該筆記來源於 Review: Cross-media analysis and reasoning: advances and directions [1];
- 該筆記不以盈利爲目的,僅用於個人學習及研究討論,便於更好地理解文章內容;
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- 本文采用 署名-非商業性使用-禁止演繹 4.0 國際 (CC BY-NC-ND 4.0) 協議發佈;
1. 爲什麼閱讀本文?
- 綜述:爲研究者提供參考資料,解讀跨媒體分析推理的研究進展和未來的研究方向;
- 主要作者:黃慶明、黃鐵軍、高文;
- 本文發表於中國工程院院刊,即浙大學報C輯 Frontiers of Information Technology & Electronic Engineering, FITEE(《信息與電子工程前沿》);
- 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.