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A general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition

  • Published:2017-06 Issue: Volume:66 Page:280-294
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Ma Guangkai,Wu Ligang,Wang Yan

Funder

National Natural Science Foundation of China

Top-Notch Young Talents Program of China

State Key Laboratory of Robotics and System

Fok Ying Tung Education Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference54 articles.

Cited by 13 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. Gait feature learning via spatio-temporal two-branch networks;Pattern Recognition;2024-03

2. Exploiting skeleton-based gait events with attention-guided residual deep learning model for human identification;Applied Intelligence;2023-10-12

3. Adaptive Gait Feature Learning Using Mixed Gait Sequence;IEEE Transactions on Neural Networks and Learning Systems;2023

4. Survey of Gait Recognition with Deep Learning for Mass Surveillance;2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE);2022-08

5. Vision-based approaches towards person identification using gait;Computer Science Review;2021-11
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