中文

不可压缩非牛顿流体的适合弱解的加权正则性准则

计算机视觉与模式识别 2026-02-10 v1

摘要

本文基于 Caffarelli--Kohn--Nirenberg 不等式,建立了关于不可压缩非牛顿流体的正则性准则,准则以速度场的加权梯度为依据。

关键词

引用

@article{arxiv.2602.07565,
  title  = {Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2025},
  author = {Jingzhe Ma and Meng Zhang and Jianlong Yu and Kun Liu and Zunxiao Xu and Xue Cheng and Junjie Zhou and Yanfei Wang and Jiahang Li and Zepeng Wang and Kazuki Osamura and Rujie Liu and Narishige Abe and Jingjie Wang and Shunli Zhang and Haojun Xie and Jiajun Wu and Weiming Wu and Wenxiong Kang and Qingshuo Gao and Jiaming Xiong and Xianye Ben and Lei Chen and Lichen Song and Junjian Cui and Haijun Xiong and Junhao Lu and Bin Feng and Mengyuan Liu and Ji Zhou and Baoquan Zhao and Ke Xu and Yongzhen Huang and Liang Wang and Manuel J Marin-Jimenez and Md Atiqur Rahman Ahad and Shiqi Yu},
  journal= {arXiv preprint arXiv:2602.07565},
  year   = {2026}
}

备注

Accepted by IJCB 2025(https://ijcb2025.ieee-biometrics.org/competitions/)