A novel fuzzy linear discriminant analysis for face recognition-Reference-Cited by-同舟云学术

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A novel fuzzy linear discriminant analysis for face recognition

Published:2018-05-07 Issue:3 Volume:22 Page:675-696
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Du Yijun¹²,Lu Xiaobo¹²,Zeng Weili³,Hu Changhui¹²

Affiliation:

1. School of Automation, Southeast University, Nanjing 210096, Jiangsu, China

2. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing 210096, Jiangsu, China

3. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference26 articles.

1. A genetically modified fuzzy linear discriminant analysis for face recognition;Khoukhi;Journal of the Franklin Institute,2011

2. Singular value decomposition and local near neighbors for face recognition under varying illumination;Hu;Pattern Recognition,2017

3. Uncertain fuzzy clustering: interval type-2 fuzzy approach to C-means;Hwang;IEEE Transactions on Fuzzy Systems,2007

4. A modified interval type-2 fuzzy C-means algorithm with application in MR image segmentation;Qiu;Pattern Recognition Letters,2013

5. Enhanced karnik-mendel algorithms;Wu;IEEE Transactions on Fuzzy Systems,2009

Cited by 4 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. Enhanced face recognition using rank-level fusion with multi-feature vectors and interval type-3 fuzzy set;2023 IEEE 3rd Applied Signal Processing Conference (ASPCON);2023-11-24

2. Fractional-weighted entropy-based fuzzy G-2DLDA algorithm: a new facial feature extraction method;Multimedia Tools and Applications;2022-07-02

3. Classical and modern face recognition approaches: a complete review;Multimedia Tools and Applications;2020-10-02

4. Depth-Adaptive Discriminant Projection with Optimal Transport;Pattern Recognition and Computer Vision;2020

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