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《Computer Engineering and Applications》 2011-20
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Semi-supervised dimensionality reduction based on sparsity representation

ZHANG Chuntao,GUO Jiao,Xu Jialiang College of Mathematics and Computer Science,Chongqing Three Gorges University,Chongqing 404100,China  
A Semi-Supervised Dimensionality Reduction method based on Sparsity Representation(SpSSDR) is proposed.Unlike other semi-supervised dimensionality reduction methods that construct graphs in steps,SpSSDR simultaneously defines the connectivity and the edges’weights of a graph via sparsity reconstruction coefficients,and then exploits pairwise constraints for dimensionality reduction.Experiments on high dimensional facial data show that SpSSDR is not only robust to noise but also making use of pairwise constraints efficiently.
【Key Words】: dimensionality reduction connectivity and weights sparsity representation pairwise constraints
【Fund】: 重庆市教委科技项目(No.KJ111106)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 WEI Jia PENG Hong (School of Computer Science and Engineering,South China University of Technology,Guangzhou 510641,China);Local and Global Preserving Based Semi-Supervised Dimensionality Reduction Method[J];Journal of Software;2008-11
2 CHEN Shi-Guo,ZHANG Dao-Qiang+(Department of Computer Science and Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China);Experimental Comparisons of Semi-Supervised Dimensional Reduction Methods[J];Journal of Software;2011-01
【Co-citations】
Chinese Journal Full-text Database 7 Hits
1 Wei Jia1 Yang Chuang-xin2 Ma Qian-li1 Yu Guo-xian1 ( 1. School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,Guangdong,China; 2. School of Information Science,Guangdong University of Business Studies,Guangzhou 510320,Guangdong,China);Semi-Supervised Discriminant Analysis Method Based on Local Reconstruction and Global Preserving[J];Journal of South China University of Technology(Natural Science Edition);2010-07
2 WU Zheng-yin,XUE An-rong,LI Ming (School of Computer Science & Telecommunication Engineering,Jiangsu University,Zhenjiang Jiangsu 212013,China);Weight local preserving based semi-supervised dimensionality reduction[J];Application Research of Computers;2011-04
3 Yang Qinyao Yu Guoxian Lü Le (School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,Guangdong,China);A PARALLEL FEATURE SELECTION ALGORITHM WITH SPECTRAL THEORY[J];Computer Applications and Software;2010-11
4 CHEN Xiao-yun1,WU Ben-chang1,HAN Hai-tao2(1.School of Information Science and Engineering,Lanzhou University,Lanzhou 730000,China;2.Meteorological Bureau of Gansu Province Lanzhou University United Data Laboratory,Lanzhou 730020,China);Research of rainfall weather model based on multi-dimensional time series data mining[J];Computer Engineering and Design;2010-04
5 ZHANG Wei,XIA Li-min,LUO Da-yong(College of Information Science and Engineering,Central South University,Changsha 410075,China);Orthogonal manifold preserving projections[J];Journal of Central South University(Science and Technology);2011-03
6 PAN Jun1,KONG Fan-sheng1,WANG Rui-qin2(1.College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China;2.College of Physics and Electronic Information Engineering,Wenzhou University,Wenzhou 325035,China);Semi-supervised clustering with weighted pairwise constraints projection[J];Journal of Zhejiang University(Engineering Science);2011-05
7 LIU Li1,WEI Jia2,MA Qian-li2 1(Department of Computer Science,Huizhou University,Huizhou 516007,China) 2(School of Computer Science and Engineering South China University of Technology,Guangzhou 510641,China);Semi-supervised Dimensionality Reduction Method with Side-information Propagation and Revise[J];Journal of Chinese Computer Systems;2011-06
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 PENG Yan ZHANG Dao-Qiang (Department of Computer Science and Engineering,Nanj i ng University of Aeronautics and Astronautics,Nanjing 210016,China);Semi-Supervised Canonical Correlation Analysis Algorithm[J];Journal of Software;2008-11
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