A multimedia retrieval framework based on semi-supervised ranking and relevance feedback

A multimedia retrieval framework based on semi-supervised ranking and relevance feedback

We present a new framework for multimedia content analysis and retrieval which consists of two independent algorithms. First, we propose a new semi-supervised algorithm called ranking with Local Regression and Global Alignment (LRGA) to learn a robust Laplacian matrix for data ranking. In LRGA, for...

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書目詳細資料
Main Authors:	Yang, Yi, Nie, Feiping, Xu, Dong, Luo, Jiebo, Zhuang, Yueting, Pan, Yunhe
其他作者:	School of Computer Engineering
格式:	Article
語言:	English
出版:	2013
主題:	DRNTU::Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/99348 http://hdl.handle.net/10220/13497
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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