English  |  正體中文  |  简体中文  |  Items with full text/Total items : 66984/66984 (100%)
Visitors : 22917011      Online Users : 2103
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32288


    Title: A new LDA-based face recognition system which can solve the small sample size problem
    Authors: Chen,LF;Liao,HYM;Ko,MT;Lin,JC;Yu,GJ
    Contributors: 資訊工程研究所
    Keywords: DISCRIMINANT;EIGENFACES
    Date: 2000
    Issue Date: 2010-07-06 18:23:14 (UTC+8)
    Publisher: 中央大學
    Abstract: A new LDA-based face recognition system is presented in this papal. Linear discriminant analysis (LDA) is one of the most popular linear projection techniques for feature extraction. The major drawback of applying LDA is that it may encounter the small sa
    Relation: PATTERN RECOGNITION
    Appears in Collections:[資訊工程研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML971View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明