J4

• Articles • Previous Articles     Next Articles

Locality preserving kernel method and its application

WAN Hai-ping,HE Hua-can,ZHOU Yan-quan   

  1. School of Information Engineering, Beijing University of Post and Telecommunication, Beijing 100876, China
  • Received:2006-03-26 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: WAN Hai-ping

Abstract: Kernel method is now a powerful alternative in many machine learning tasks.Practice shows that it will achieve better performance if domain knowledge could be incorporated.The relationship between global information and local information when processing data is discussed.A text categorization test is conducted to compare our method with other several classification methods,and one will see that ours outperforms them.

Key words: face recognition , text classification, locality fitting, global view, kernel method

[1] WAN Zhong-ying, WANG Ming-wen, ZUO Jia-li, WAN Jian-yi. Feature selection combined with the global and local information(GLFS) [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2016, 51(5): 87-93.
[2] MA Cheng-long, JIANG Ya-song, LI Yan-ling, ZHANG Yan, YAN Yong-hong. Short text classification based on word embedding similarity [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2014, 49(12): 18-22.
[3] ZHENG Yan, PANG Lin, BI Hui, LIU Wei, CHENG Gong. Feature selection algorithm based on sentiment topic model [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2014, 49(11): 74-81.
[4] ZHANG Li-bo, LI Hua-xiong, ZHOU Xian-zhong, HUANG Bing. Multi-granularity cost-sensitive three-way decision for face recognition [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2014, 49(08): 48-57.
[5] SUN Zhong-gui1, CHEN Jie2. Improvement for non-local means using data driven kernel [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2014, 49(05): 24-27.
[6] WANG Peng-ming, ZHONG Mao-sheng, LIU Zun-xiong. Multiple kernel learning in denoising space [J]. J4, 2012, 47(5): 49-52.
[7] YANG Bing, WANG Shi-tong*. Total margin v minimum class variance support vector machines  based on common  vectors for noisy face classification [J]. J4, 2010, 45(11): 5-11.
[8] YANG Shao-hua,LIN Pan,PAN Chen . Performance improvement of face recognition based on kernel principal component analysis using wavelet transform [J]. J4, 2007, 42(9): 96-100 .
[9] ZHANG Wei-hua,WANG Ming-wen,GAN Li-xin . Automatic text classification model based on random forest [J]. J4, 2006, 41(3): 139-143 .
[10] YU Jun-ying,WANG Ming-wen,SHENG Jun . Class information feature selection method for text classification [J]. J4, 2006, 41(3): 144-148 .
[11] ZHANG Guo-ying,SHA Yun,JIANG Hui-na . An improved KNN classification algorithm based on particle swarm optimization [J]. J4, 2006, 41(3): 34-36 .
[12] YUAN Fang,YUAN Jun-ying . Naive Bayes Chinese text classification based on core words of class [J]. J4, 2006, 41(3): 46-49 .
[13] WAN Hai-ping,HE Hua-can . Dimensionality reduction based on spectral graph and its application [J]. J4, 2006, 41(3): 58-60 .
[14] BAI Ru-jiang,WANG Xiao-yue . AA hybrid classifier based on the rough sets and BPneural networks [J]. J4, 2006, 41(3): 70-75 .
Viewed
Full text
231
HTML PDF
Just accepted Online first Issue Just accepted Online first Issue
0 0 0 0 0 231

  From local
  Times 231
  Rate 100%

Abstract
664
Just accepted Online first Issue
0 0 664
  From Others
  Times 664
  Rate 100%

Cited
Web of Science  Crossref   ScienceDirect  Search for Citations in Google Scholar >>
 
This page requires you have already subscribed to WoS.
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE)
Supported by Beijing Magtech Co.Ltd