| 查看: 247 | 回复: 2 | |||||
| 本帖产生 1 个 ，点击这里进行查看 | |||||
| 当前只显示满足指定条件的回帖，点击这里查看本话题的所有回帖 | |||||
[求助]
EI收录情况
|
|||||
| EI论文题目：Dual-kernel based 2D linear discriminant analysis for face，谢谢。 |
回复此楼» 猜你喜欢
同年申请2项不同项目，第1个项目里不写第2个项目的信息，可以吗
已经有6人回复
-
依托企业入选了国家启明计划青年人才。有无高校可以引进的。
已经有6人回复
-
依托企业入选了国家启明计划青年人才。有无高校可以引进的。
已经有10人回复
-
天津大学招2026.09的博士生，欢迎大家推荐交流（博导是本人）
已经有9人回复
-
有院领导为了换新车，用横向课题经费买了俩车
已经有10人回复
-
遇见不省心的家人很难过
已经有24人回复
-
AI 太可怕了，写基金时，提出想法，直接生成的文字比自己想得深远，还有科学性
已经有6人回复
-
酰胺脱乙酰基
已经有13人回复
-
有时候真觉得大城市人没有县城人甚至个体户幸福
已经有10人回复
fatewu
主管区长 (文坛精英)
小木虫浪漫体验师~\(^o^)/~
-
专家经验: +790 - 应助: 521 (博士)
- 贵宾: 19.629
- 金币: 19727
- 散金: 169099
- 红花: 648
- 沙发: 2558
- 帖子: 43959
- 在线: 6049.8小时
- 虫号: 3063713
- 注册: 2014-03-17
- 专业: 未来学
- 管辖: 化学化工区
|
Accession number: 20150700511111 Article in Press Information about Article in Press Title: Dual-kernel based 2D linear discriminant analysis for face recognition Authors: Liu, Xiao-Zhang1 Email author liuxiaozhang@gmail.com; Ye, Hong-Wei2 Author affiliation: 1 School of Computer Science, Dongguan University of Technology, Dongguan, China 2 School of Electronics and Information Engineering, Heyuan Polytechnic, Heyuan, China Corresponding author: Liu, Xiao-Zhang Source title: Journal of Ambient Intelligence and Humanized Computing Abbreviated source title: J. Ambient Intell. Humanized Comput. Issue date: April 23, 2014 Publication year: 2014 Language: English ISSN: 18685137 E-ISSN: 18685145 Document type: Article in Press Publisher: Springer Verlag Abstract: This paper proposes a new image feature extraction method for face recognition, called dual-kernel based two dimensional linear discriminant analysis (D-K2DLDA), by integrating multiple kernel discriminant analysis with the existing K2DFDA method. The proposed method deals with a face image directly as a matrix, instead of a stacked vector from rows or columns of the image. Moreover, we separately perform an iterative scheme for kernel parameter optimization for each of the two kernels, based on the maximum margin criterion and the damped Newton’s method, followed by a fusion procedure of the two kernels. Experimental results on the ORL and UMIST face databases show the effectiveness of D-K2DLDA. © 2014 Springer-Verlag Berlin Heidelberg Page count: 6 Main heading: Face recognition Controlled terms: Discriminant analysis - Feature extraction - Iterative methods - Matrix algebra Uncontrolled terms: 2D linear discriminant analysis - Image feature extractions - Iterative schemes - Kernel parameter optimization - Linear discriminant analysis - Matrix representation - Maximum margin criterions - Multiple kernels Classification code: 716 Telecommunication; Radar, Radio and Television - 921.1 Algebra - 921.6 Numerical Methods - 922 Statistical Methods DOI: 10.1007/s12652-014-0230-2 Database: Compendex Compilation and indexing terms, © 2015 Elsevier Inc. |
3楼2015-08-22 16:09:47
fatewu
主管区长 (文坛精英)
小木虫浪漫体验师~\(^o^)/~
-
专家经验: +790 - 应助: 521 (博士)
- 贵宾: 19.629
- 金币: 19727
- 散金: 169099
- 红花: 648
- 沙发: 2558
- 帖子: 43959
- 在线: 6049.8小时
- 虫号: 3063713
- 注册: 2014-03-17
- 专业: 未来学
- 管辖: 化学化工区
【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★
感谢参与，应助指数 +1
aboyhw: 金币+5, ★★★★★最佳答案 2015-08-22 16:32:56
aboyhw: 金币+5, ★★★★★最佳答案 2015-08-22 16:34:47
心静_依然: LS-EPI+1, 感谢应助 2015-08-22 16:51:49
感谢参与，应助指数 +1
aboyhw: 金币+5, ★★★★★最佳答案 2015-08-22 16:32:56
aboyhw: 金币+5, ★★★★★最佳答案 2015-08-22 16:34:47
心静_依然: LS-EPI+1, 感谢应助 2015-08-22 16:51:49
|
已经EI收录 恭喜恭喜 Check record to add to Selected Records Add to selected records Dual-kernel based 2D linear discriminant analysis for face recognition Liu, Xiao-Zhang1 Email author liuxiaozhang@gmail.com; Ye, Hong-Wei2 Source: Journal of Ambient Intelligence and Humanized Computing, April 23, 2014; ISSN: 18685137, E-ISSN: 18685145; DOI: 10.1007/s12652-014-0230-2; Publisher: Springer Verlag Article in Press Information about Article in Press Author affiliations: 1 School of Computer Science, Dongguan University of Technology, Dongguan, China 2 School of Electronics and Information Engineering, Heyuan Polytechnic, Heyuan, China Abstract: This paper proposes a new image feature extraction method for face recognition, called dual-kernel based two dimensional linear discriminant analysis (D-K2DLDA), by integrating multiple kernel discriminant analysis with the existing K2DFDA method. The proposed method deals with a face image directly as a matrix, instead of a stacked vector from rows or columns of the image. Moreover, we separately perform an iterative scheme for kernel parameter optimization for each of the two kernels, based on the maximum margin criterion and the damped Newton’s method, followed by a fusion procedure of the two kernels. Experimental results on the ORL and UMIST face databases show the effectiveness of D-K2DLDA. © 2014 Springer-Verlag Berlin Heidelberg Main heading: Face recognition Controlled terms: Discriminant analysis - Feature extraction - Iterative methods - Matrix algebra Uncontrolled terms: 2D linear discriminant analysis - Image feature extractions - Iterative schemes - Kernel parameter optimization - Linear discriminant analysis - Matrix representation - Maximum margin criterions - Multiple kernels Classification Code: 716 Telecommunication; Radar, Radio and Television - 921.1 Algebra - 921.6 Numerical Methods - 922 Statistical Methods Database: Compendex Full-text and Local Holdings Links |
2楼2015-08-22 16:09:11