Deep multiple classifier fusion for traffic scene recognition-Reference-Cited by-同舟云学术

Deep multiple classifier fusion for traffic scene recognition

Published:2019-06-19 Issue:1 Volume:6 Page:217-228
ISSN:2364-4966
Container-title:Granular Computing
language:en
Short-container-title:Granul. Comput.

Author:

Wu Fangyu^ORCID,Yan Shiyang,Smith Jeremy S.,Zhang Bailing

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s41066-019-00182-6.pdf

Reference65 articles.

1. Abdi H, Williams LJ (2010) Principal component analysis. Wiley Interdiscipl Reviews Comput Stat 2(4):433–459

2. Altman NS (1992) An introduction to kernel and nearest-neighbor nonparametric regression. Am Stat 46(3):175–185

3. Atanassov KT (1999) Interval valued intuitionistic fuzzy sets. In: Kacprzyk J (ed) Studies in fuzziness and soft computing, vol 35. Physica, Heidelberg

4. Chen CY, Choi W, Chandraker M (2016) Atomic scenes for scalable traffic scene recognition in monocular videos. In: 2016 IEEE winter conference on applications of computer vision (WACV), IEEE, pp 1–9

5. Chen SM, Chang YC (2011) Weighted fuzzy rule interpolation based on ga-based weight-learning techniques. IEEE Trans Fuzzy Syst 19(4):729–744

Cited by 7 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. Multi-label recognition in open driving scenarios based on bipartite-driven superimposed dynamic graph;Image and Vision Computing;2024-09

2. Introduction;Studies in Fuzziness and Soft Computing;2024

3. Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-08

4. A multi-classifier system for automatic fingerprint classification using transfer learning and majority voting;Multimedia Tools and Applications;2023-05-26

5. Training simple recurrent deep artificial neural network for forecasting using particle swarm optimization;Granular Computing;2021-06-22