Generalized biased discriminant analysis for content-based image retrieval

Generalized biased discriminant analysis for content-based image retrieval

Biased discriminant analysis (BDA) is one of the most promising relevance feedback (RF) approaches to deal with the feedback sample imbalance problem for content-based image retrieval (CBIR). However, the singular problem of the positive within-class scatter and the Gaussian distribution assumption...

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書目詳細資料
Main Authors:	Zhang, Lining., Wang, Lipo., Lin, Weisi.
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2012
主題:	DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	https://hdl.handle.net/10356/84923 http://hdl.handle.net/10220/8192
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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