Local Tangent Space Based Manifold Entropy for Image Retrieval

被引：0

作者：

Wang, Yi ^{[1
]}

Li, Hongyu ^{[1
,2
]}

Niu, Junyu ^{[2
]}

Zhang, Lin ^{[1
]}

机构：

[1] Tongji Univ, Sch Software Engn, Shanghai 200092, Peoples R China

[2] Fudan Univ, Sch Comp Sci, Shanghai, Peoples R China

来源：

2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012) | 2012年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a new manifold entropy function based on local tangent space (LTS). With this entropy function, we further propose a framework for image retrieval. The retrieval is treated as searching for ordered cycles by categories in image datasets. The optimal cycles can be found by minimizing our manifold entropy of images.

引用

页码：262 / 265

页数：4

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