A novel multi-view SVM based on consistent hidden density distributions between views for face recognition-Reference-Cited by-同舟云学术

A novel multi-view SVM based on consistent hidden density distributions between views for face recognition

Published:2019-06-11 Issue:6 Volume:36 Page:5245-5259
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Jiang Zhibin¹,Zhou Jie¹,Zhang Yuanpeng¹²,Wang Shitong¹

Affiliation:

1. School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China

2. School of Medical Informatics, Nantong University, Nantong, Jiangsu, P.R. China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference50 articles.

1. Face recognition: A literature survey;Zhao;ACM Computing Surveys (CSUR),2003

2. D.N. Parmar and B.B. Mehta, Face recognition methods & applications, arXiv preprint arXiv 1403.0485 (2014).

3. M.A. Turk and A.P. Pentland, Face recognition using eigenfaces, IEEE International Conference on Computer Vision and Pattern Recognition (1991), 586–591.

4. Face recognition using principal component analysis and linear discriminant analysis on holistic approach in facial images database;Satonkar Suhas;Int Organ Sci Res,2012

5. Multi-view discriminant analysis;Kan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improvement and Application of Fractional Particle Swarm Optimization Algorithm;Mathematical Problems in Engineering;2022-05-26

2. Multi-view learning based on maximum margin of twin spheres support vector machine;Journal of Intelligent & Fuzzy Systems;2021-06-21