Volume 37 Issue 5
Dec.  2017
Article Contents
Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2008  >  37(5): 750-752

ZHAO Ji-dong, LU Ke, WU Yue. Research on the Optimization of Locality Preserving Projections[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(5): 750-752.
Citation: ZHAO Ji-dong, LU Ke, WU Yue. Research on the Optimization of Locality Preserving Projections[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(5): 750-752.
shu

Research on the Optimization of Locality Preserving Projections

  • 1.

    School of Computer Science and Engineering,University of Electronic Science and Technology of China Chengdu 610054

  • Received Date: 2007-04-24
  • Rev Recd Date: 2007-12-26
  • Publish Date: 2008-10-15
  • Locality Preserving Projections (LPP) is based on a nearest neighbor graph which models the local geometrical structure of the image manifold. However, this graph can not always accurately estimate the intrinsic manifold structure. A novel algorithm called Iterative locality preserving projections (ILPP) is preposed. ILPP iteratively updates the nearest neighbor graph, so that it can better model the intrinsic manifold structure. Experimental results comparison show that our algorithm outperforms PCA and LPP for image retrieval.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Get Citation
PDF
XML

Article Metrics

Article views(3553) PDF downloads(47) Cited by()

Related
Proportional views

Research on the Optimization of Locality Preserving Projections

  • 1. School of Computer Science and Engineering,University of Electronic Science and Technology of China Chengdu 610054
  • Received Date: 2007-04-24
  • Rev Recd Date: 2007-12-26
  • Publish Date: 2008-10-15

Abstract: Locality Preserving Projections (LPP) is based on a nearest neighbor graph which models the local geometrical structure of the image manifold. However, this graph can not always accurately estimate the intrinsic manifold structure. A novel algorithm called Iterative locality preserving projections (ILPP) is preposed. ILPP iteratively updates the nearest neighbor graph, so that it can better model the intrinsic manifold structure. Experimental results comparison show that our algorithm outperforms PCA and LPP for image retrieval.

ZHAO Ji-dong, LU Ke, WU Yue. Research on the Optimization of Locality Preserving Projections[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(5): 750-752.
Citation: ZHAO Ji-dong, LU Ke, WU Yue. Research on the Optimization of Locality Preserving Projections[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(5): 750-752.
shu

    HTML

Catalog

    Journal Online

    Author's Notes

    Links

    Copyright © 《电子科技大学学报》编辑部

    Address: Room 350, central building, University of Electronic Science and Technology, No.4, Section 2, Jianshe North Road, Chengdu Tel: 028-83202308,83207559 Email: xuebao@uestc.edu.cn

    本系统由 北京仁和汇智信息技术有限公司 开发 

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return