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1D embedding multi-category classification methods

文献类型：期刊论文

作者Li, Luoqing1; Yang, Chuanwu1; Xie, Qiwei2,3; Luoqing Li
刊名INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING
出版日期2016-03-01
卷号14期号:2页码:92-104
关键词Multi-category Classification 1d Embedding Semi-supervised Learning
DOI10.1142/S0219691316400063
文献子类Article
英文摘要In this paper, we propose a novel semi-supervised multi-category classification method based on one-dimensional (1D) multi-embedding. Based on the multiple 1D embedding based interpolation technique, we embed the high-dimensional data into several different 1D manifolds and perform binary classification firstly. Then we construct the multi-category classifiers by means of one-versus-rest and one-versus-one strategies separately. A weight strategy is employed in our algorithm for improving the classification performance. The proposed method shows promising results in the classification of handwritten digits and facial images.
WOS关键词RECOGNITION
WOS研究方向Computer Science ; Mathematics
语种英语
WOS记录号WOS:000372978500007
资助机构National Natural Science Foundation of China(11371007)
源URL[http://ir.ia.ac.cn/handle/173211/12194]  
专题自动化研究所_类脑智能研究中心
通讯作者Luoqing Li
作者单位1.Hubei Univ, Fac Math & Stat, Hubei Key Lab Appl Math, Wuhan 430062, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.Toyota Technol Inst, Dept Elect & Informat, Nagoya, Aichi 4688511, Japan
推荐引用方式
GB/T 7714		 Li, Luoqing,Yang, Chuanwu,Xie, Qiwei,et al. 1D embedding multi-category classification methods[J]. INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,2016,14(2):92-104.
APA Li, Luoqing,Yang, Chuanwu,Xie, Qiwei,&Luoqing Li.(2016).1D embedding multi-category classification methods.INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING,14(2),92-104.
MLA Li, Luoqing,et al."1D embedding multi-category classification methods".INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING 14.2(2016):92-104.

入库方式： OAI收割

来源：自动化研究所

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