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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

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