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[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！
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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 |
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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
3楼2013-08-06 09:04:31
