Regularized Class-Specific Subspace Classifier | |
Zhang, Rui1,2; Nie, Feiping1,2; Li, Xuelong3; Nie, Feiping (feipingnie@gmail.com) | |
作者部门 | 光学影像学习与分析中心 |
2017-11-01 | |
发表期刊 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS |
ISSN | 2162-237X |
卷号 | 28期号:11页码:2738-2747 |
产权排序 | 2 |
摘要 | In this paper, we mainly focus on how to achieve the translated subspace representation for each class, which could simultaneously indicate the distribution of the associated class and the differences from its complementary classes. By virtue of the reconstruction problem, the class-specific subspace classifier (CSSC) problem could be represented as a series of biobjective optimization problems, which minimize and maximize the reconstruction errors of the related class and its complementary classes, respectively. Besides, the regularization term is specifically introduced to ensure the whole system's stability. Accordingly, a regularized class-specific subspace classifier (RCSSC) method can be further proposed based on solving a general quadratic ratio problem. The proposed RCSSC method consistently converges to the global optimal subspace and translation under the variations of the regularization parameter. Furthermore, the proposed RCSSC method could be extended to the unregularized case, which is known as unregularized CSSC (UCSSC) method via orthogonal decomposition technique. As a result, the effectiveness and the superiority of both proposed RCSSC and UCSSC methods can be verified analytically and experimentally. |
文章类型 | Article |
关键词 | Class-specific Subspace Quadratic Ratio Problem Reconstruction Problem Regularization Term Translation |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TNNLS.2016.2598744 |
收录类别 | SCI ; EI |
关键词[WOS] | DISCRIMINANT-ANALYSIS ; FEATURE-EXTRACTION ; 2-DIMENSIONAL PCA ; RECOGNITION |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
项目资助者 | Fundamental Research Funds for the Central Universities(3102015BJ(II)JJZ01) |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000413403900023 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/28210 |
专题 | 光谱成像技术研究室 |
通讯作者 | Nie, Feiping (feipingnie@gmail.com) |
作者单位 | 1.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China 2.Northwestern Polytech Univ, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China 3.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Rui,Nie, Feiping,Li, Xuelong,et al. Regularized Class-Specific Subspace Classifier[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2017,28(11):2738-2747. |
APA | Zhang, Rui,Nie, Feiping,Li, Xuelong,&Nie, Feiping .(2017).Regularized Class-Specific Subspace Classifier.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,28(11),2738-2747. |
MLA | Zhang, Rui,et al."Regularized Class-Specific Subspace Classifier".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 28.11(2017):2738-2747. |
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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 | ||
Regularized Class-Sp(1761KB) | 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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