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哪位帮忙查一下这篇论文是否被EI检索了，同时麻烦给个检索情况谢谢。 已有1人参与
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论文：Research and Application of Real Estate Document Image Classification Based on SVMs and KNN 第一作者：yuanchun kuang [ Last edited by cxksama on 2014-2-14 at 13:39 ] |
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farspring: 金币+5, ★★★★★最佳答案 2014-02-14 13:27:58
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farspring: 金币+5, ★★★★★最佳答案 2014-02-14 13:27:58
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恭喜，检索了。 Accession number: 20140217188082 Title: Research and application of real estate document image classification based on SVMs and KNN Authors: Kuang, Yuanchun1; Yu, Jianqiao1 ; Hu, Yingchun1; Wang, Ying1 Author affiliation: 1 Institute of Computer and Information Science, Southwest University, Chongqing 400715, China Corresponding author: Yu, J. (jqyu@swu.edu.cn) Source title: Journal of Information and Computational Science Abbreviated source title: J. Inf. Comput. Sci. Volume: 10 Issue: 18 Issue date: December 10, 2013 Publication year: 2013 Pages: 6093-6100 Language: English ISSN: 15487741 Document type: Journal article (JA) Publisher: Binary Information Press, Flat F 8th Floor, Block 3, Tanner Garden, 18 Tanner Road, Hong Kong Abstract: In order to quickly and accurately classify the massive real estate documents, a novel method of automatic classification for document image is presented. Based on the paragraph and local pixel feature, it is accomplished by SVM-KNN classifiers. This method, first, extracts the paragraph and local pixel features of the preprocessed document images, then constructs the SVM-KNN multiple classifiers according to these features, finally, the feature vector set is extracted from the massive real estate document images to compare the accuracy and efficiency of SVM and KNN classifiers. The experimental results show that this method can achieve fast and accurate classification of the document images and has good application value on the automatically classification of the real estate archives. © 2013 Binary Information Press. Number of references: 11 Main heading: Image classification Controlled terms: Pattern recognition - Pixels - Support vector machines - Vector spaces Uncontrolled terms: Automatic classification - K nearest neighbor algorithm - Local pixel features - Multiple classifiers - Paragraph characteristic - Research and application - Support vector machine (SVMs) - Vector space models Classification code: 716 Telecommunication; Radar, Radio and Television - 723 Computer Software, Data Handling and Applications - 723.5 Computer Applications - 921 Mathematics DOI: 10.12733/jics20102615 Database: Compendex Compilation and indexing terms, © 2013 Elsevier Inc. |
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