24小时热门版块排行榜    

查看: 389  |  回复: 2
当前只显示满足指定条件的回帖,点击这里查看本话题的所有回帖

nini719

新虫 (初入文坛)

[求助] 我的有篇文章,听说被EI索引了,请大家帮忙查询下,谢谢!

题目:Improved weak classifier optimization algorithm
作者:Shaowen Liao   (1)   Yong Chen   (2)
这篇是否被EI收录(最好能有收录信息)?谢谢
回复此楼
已阅   回复此楼   关注TA 给TA发消息 送TA红花 TA的回帖

nini719

新虫 (初入文坛)

算是EI索引了么?我现在是不是可以去开证明了?

[ 发自手机版 http://muchong.com/3g ]
3楼2013-08-06 09:04:31
已阅   回复此楼   关注TA 给TA发消息 送TA红花 TA的回帖
查看全部 3 个回答

andycoy

木虫 (著名写手)

【答案】应助回帖

感谢参与,应助指数 +1
Accession number:       
20133016535358
        Title:        Improved weak classifier optimization algorithm
        Authors:         Liao, Shaowen1 ; Chen, Yong2
        Author affiliation:        1 Information Technology and Media Institute, Hexi University GanSuZhangYe, Hexi, China
                2 Artillery Training Base of General Staff, HeBeiXuanHua, HeBei, China
        Corresponding author:         Liao, S. (nini719@163.com)
        Source title:        Advances in Intelligent Systems and Computing
        Abbreviated source title:        Adv. Intell. Sys. Comput.
        Volume:        212
        Monograph title:        Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013
        Issue date:        2013
        Publication year:        2013
        Pages:        1091-1096
        Language:        English
        ISSN:         21945357
        ISBN-13:         9783642375019
        Document type:        Journal article (JA)
        Publisher:        Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany
        Abstract:        In view of the slow speed and time-consuming training problem of the human face detection in complex conditions, we put forward an improved algorithm. To counter the time-consuming training defect of the Adaboot algorithm, we improve the about error rate calculation formula while training the weak classifier, thus accelerating the training speed of the latter and reducing the overall training time. The experimental results show that the improved system has greatly improved the training speed. © Springer-Verlag Berlin Heidelberg 2013.
        Number of references:        9
        Main heading:         Algorithms
        Controlled terms:         Adaptive boosting  -  Computation theory  -  Face recognition
        Uncontrolled terms:         AdaBoost algorithm  -  Calculation formula  -  Complex condition  -  Error rate  -  Human face detection  -  Optimization algorithms  -  Training speed  -  Weak classifiers
        Classification code:         716 Telecommunication; Radar, Radio and Television -  723 Computer Software, Data Handling and Applications -  921 Mathematics
        DOI:        10.1007/978-3-642-37502-6_127
        Database:        Compendex
                Compilation and indexing terms, © 2012 Elsevier Inc.
2楼2013-08-05 15:39:32
已阅   回复此楼   关注TA 给TA发消息 送TA红花 TA的回帖
信息提示
请填处理意见