登录 注册 会员服务 联系我们

A Laplacian structured representation model in subspace clustering for enhanced motion segmentation

  • Published:2016-10 Issue: Volume:208 Page:174-182
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Chen Wanjun,Zhang Erhu,Zhang Zhuomin

Funder

Scientific Research Program of Shaanxi Provincial Education Department of China

Scientific Research Program of Xi׳an Science and Technology Bureau of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference40 articles.

1. Learning compact binary face descriptor for face recognition, IEEE Trans;Lu;Pattern Anal. Mach. Intell,2015

2. Reconstruction-based metric learning for unconstrained face verification;Lu;IEEE Transactions on Information Forensics and Security,2015

3. Discriminative multimanifold analysis for face recognition from a single training sample per person;Lu;IEEE Trans. Pattern Anal. Mach. Intell.,2013

4. Cost-sensitive subspace analysis and extensions for face recognition;Lu;IEEE Transactions on Information Forensics and Security,2013

5. Image-to-set face recognition using locality repulsion projections and sparse reconstruction-based similarity measure;Lu;IEEE Transactions on Circuits and Systems for Video Technology,2013

Cited by 12 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. Projection-preserving block-diagonal low-rank representation for subspace clustering;Neurocomputing;2023-03

2. A Survey on High-Dimensional Subspace Clustering;Mathematics;2023-01-13

3. Fast Multi-View Semi-Supervised Learning With Learned Graph;IEEE Transactions on Knowledge and Data Engineering;2022-01-01

4. Correntropy metric-based robust low-rank subspace clustering for motion segmentation;International Journal of Machine Learning and Cybernetics;2021-11-11

5. Subspace Clustering with Block Diagonal Sparse Representation;Neural Processing Letters;2021-07-23
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