OPT OpenIR  > 光谱成像技术研究室
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
ISSN2162-237X
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
DOI10.1109/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
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
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.
条目包含的文件
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
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Rui]的文章
[Nie, Feiping]的文章
[Li, Xuelong]的文章
百度学术
百度学术中相似的文章
[Zhang, Rui]的文章
[Nie, Feiping]的文章
[Li, Xuelong]的文章
必应学术
必应学术中相似的文章
[Zhang, Rui]的文章
[Nie, Feiping]的文章
[Li, Xuelong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。