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gaoxin9888金虫 (著名写手)
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[求助]
哪位大侠帮查查jcit 2012年的一文章,EI检索了没有!
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A New Feature Extraction Method Based On Nearest Neighbor Line 谢了  |
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静安jingan: 金币+1, 感谢应助 2013-04-19 09:44:42
gaoxin9888: 金币+5, ★★★★★最佳答案 2013-04-19 14:22:56
静安jingan: 金币+1, 感谢应助 2013-04-19 09:44:42
gaoxin9888: 金币+5, ★★★★★最佳答案 2013-04-19 14:22:56
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gx Accession number: 20130215879972 Title: A new feature extraction method based on nearest neighbor line Authors: Xiao-Yuan, Xu1 ; Yu-Jie, Zheng2 Author affiliation: 1 JiangSu Radio and Tv University, China 2 The 28th Research Institute of China Electronics Technology Group Corporation, China Corresponding author: Yu-Jie, Z. (judithxxy@yahoo.com.cn) Source title: Journal of Convergence Information Technology Abbreviated source title: J. Convergence Inf. Technol. Volume: 7 Issue: 23 Issue date: December 2012 Publication year: 2012 Pages: 617-626 Language: English ISSN: 19759320 E-ISSN: 22339299 Document type: Journal article (JA) Publisher: Advanced Institute of Convergence Information Technology, Myoungbo Bldg 3F,, Bumin-dong 1-ga, Seo-gu, Busan, 602-816, Korea, Republic of Abstract: Feature extraction is one of the hot topics in the field of pattern recognition. To improve the performance of feature extraction, a new feature extraction method called NNL-NDA(Nearest Neighbor Line-Nonparametric Discriminant Analysis) is proposed in this paper. And it's based on the algorithm of distributed non-parametric maximum space criteria by the nearest neighbor line idea. The effectiveness of the method is verified by identifying on the face database. Number of references: 8 Main heading: Feature extraction Controlled terms: Algorithms - Discriminant analysis - Face recognition Uncontrolled terms: DDLA/DR - Face database - Feature extraction methods - Nearest neighbors - Non-parametric - Small samples Classification code: 716 Telecommunication; Radar, Radio and Television - 723 Computer Software, Data Handling and Applications - 921 Mathematics - 922 Statistical Methods DOI: 10.4156/jcit.vol7.issue23.72 Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. |
2楼2013-04-19 09:40:21
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