| Block Principal Component Analysis With Nongreedy l(1)-Norm Maximization | |
Li, Bing Nan1; Yu, Qiang2; Wang, Rong2; Xiang, Kui3; Wang, Meng4; Li, Xuelong5 ; Li, BN (reprint author), Hefei Univ Technol, Dept Biomed Engn, Hefei 230009, Peoples R China.
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| 作者部门 | 光学影像学习与分析中心 |
| 2016-11-01 | |
| 发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS
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| ISSN | 2168-2267 |
| 卷号 | 46期号:11页码:2543-2547 |
| 产权排序 | 5 |
| 摘要 | Block principal component analysis with l(1)-norm (BPCA-L1) has demonstrated its effectiveness in a lot of visual classification and data mining tasks. However, the greedy strategy for solving the l(1)-norm maximization problem is prone to being struck in local solutions. In this paper, we propose a BPCA with nongreedy l(1)-norm maximization, which obtains better solutions than BPCA-L1 with all the projection directions optimized simultaneously. Other than BPCA-L1, the new algorithm has been evaluated against some popular principal component analysis (PCA) algorithms including PCA-L1 and 2-D PCA-L1 on a variety of benchmark data sets. The results demonstrate the effectiveness of the proposed method. |
| 文章类型 | Article |
| 关键词 | Block Principal Component Analysis (Bpca) Dimensionality Reduction l(1)-norm Nongreedy Strategy Outliers |
| 学科领域 | Computer Science, Artificial Intelligence |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1109/TCYB.2015.2479645 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | FACE RECOGNITION ; 2-DIMENSIONAL PCA ; IMAGE-ANALYSIS ; MODULAR PCA ; REPRESENTATION ; LAPLACIANFACES ; L1-NORM ; 2DPCA |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| 项目资助者 | National Natural Science Foundation of China(61271123 ; China Postdoctoral Science Foundation(2014M562636) ; Key Research Program of the Chinese Academy of Sciences(KGZD-EW-T03) ; 61401471 ; 61571176 ; 91120302 ; 61511140099) |
| WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS记录号 | WOS:000386227000013 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/28417 |
| 专题 | 光谱成像技术研究室 |
| 通讯作者 | Li, BN (reprint author), Hefei Univ Technol, Dept Biomed Engn, Hefei 230009, Peoples R China. |
| 作者单位 | 1.Hefei Univ Technol, Dept Biomed Engn, Hefei 230009, Peoples R China 2.Xian Res Inst Hitech, Xian 710025, Peoples R China 3.Wuhan Univ Technol, Sch Automat, Wuhan 430070, Peoples R China 4.Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei 230009, Peoples R China 5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Bing Nan,Yu, Qiang,Wang, Rong,et al. Block Principal Component Analysis With Nongreedy l(1)-Norm Maximization[J]. IEEE TRANSACTIONS ON CYBERNETICS,2016,46(11):2543-2547. |
| APA | Li, Bing Nan.,Yu, Qiang.,Wang, Rong.,Xiang, Kui.,Wang, Meng.,...&Li, BN .(2016).Block Principal Component Analysis With Nongreedy l(1)-Norm Maximization.IEEE TRANSACTIONS ON CYBERNETICS,46(11),2543-2547. |
| MLA | Li, Bing Nan,et al."Block Principal Component Analysis With Nongreedy l(1)-Norm Maximization".IEEE TRANSACTIONS ON CYBERNETICS 46.11(2016):2543-2547. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Block Principal Comp（1305KB） | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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