Relaxed group low rank regression model for multi-class classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Relaxed group low rank regression model for multi-class classification

Published:2020-11-10 Issue:6 Volume:80 Page:9459-9477
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Wang Shuangxi,Ge Hongwei,Yang Jinlong,Tong Yubing

Funder

the Graduate Innovation Foundation of Jiangsu Province

Natural Science Foundation of Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-020-10080-8.pdf

Reference36 articles.

1. Asgharian L, Ebrahimnezhad H (2020) How many sample points are sufficient for 3D model surface representation and accurate mesh simplification? Multimed Tools Appl 79:29595–29620. https://doi.org/10.1007/s11042-020-09395-3

2. Cai J, Candes E, Shen Z (2010) A singular value Thresholding algorithm for matrix completion. SIAM J Optim 20(4):1956–1982

3. Cai X, Ding C, Nie F, Huang H (2013) On the equivalent of low-rank linear regressions and linear discriminant analysis based regressions. In: Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining, pp. 1124–1132

4. Chang K, Hsieh C, Lin C (2008) Coordinate descent method for large-scale L2-loss linear support vector machines. J Mach Learn Res 9:1369–1398

5. Chen Y, Xu W, Zuo J, Yang K (2019) The fire recognition algorithm using dynamic feature fusion and IV-SVM classifier. Clust Comput 22:7665–7675

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. Kernel-Free Quadratic Surface Regression for Multi-Class Classification;Entropy;2023-07-24

2. Low-rank matrix recovery via novel double nonconvex nonsmooth rank minimization with ADMM;Multimedia Tools and Applications;2023-07-14

3. Improved local descriptor (ILD): a novel fusion method in face recognition;International Journal of Information Technology;2023-04

4. Color Multiscale Block-ZigZag LBP (CMB-ZZLBP): An Efficient and Discriminant Face Descriptor;Springer Proceedings in Mathematics & Statistics;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3