Enhancing Bag-of-Words Models with Semantics-Preserving Metric Learning

被引：18
|
作者：
Wu, Lei [1 ]
Hoi, Steven C. H. [2 ]
机构：
[1] Michigan State Univ, E Lansing, MI 48824 USA
[2] Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore
来源：
IEEE MULTIMEDIA | 2011年 / 18卷 / 01期
关键词：
bag-of-words models; distance metric learning; IEEE MultiMedia; image annotation; multimedia and graphics; object codebook; object recognition; semantic gap;
D O I：
10.1109/MMUL.2011.7
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The authors present an online semantics-preserving, metric-learning technique for improving the bag-of-words model and addressing the semantic-gap issue. © 2011 IEEE.
引用
收藏
页码：24 / 37
页数：14
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