Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jialun Yin"'
Publikováno v:
Data Intelligence, Vol 6, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/709ab3ba713b4eb8b6b56e01f3744d17
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:6991-7007
In order to improve trajectory tracking accuracy, a reinforcement learning method was employed to address the trajectory tracking task in autonomous driving. There are many conveniences and advantages in theories, methods and tools utilizing reinforc
Autor:
Li Zheng, Yuchao Liu, Xinyu Zhang, Jianhui Zhao, Hongbo Gao, Jianghao Huo, Guopeng Li, Jialun Yin
Publikováno v:
Information Sciences. 432:463-478
Various datasets from sensors are used for object recognition, and different features may be extracted from the same dataset in processing. Different datasets thus describe representations or views of the same object. Fusing the information from this
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 22:2451-2466
We present an online visual analytics approach to helping users explore and understand hierarchical topic evolution in high-volume text streams. The key idea behind this approach is to identify representative topics in incoming documents and align th
Publikováno v:
International Journal of Heat and Mass Transfer. 157:119914
In this study, we conduct pool boiling experiments on pure copper and bi-conductive surfaces using sodium dodecyl sulfate as the surfactant and focus on the bubble behaviors and heat transfer performance of the solutions at the boiling crisis. In com
Publikováno v:
IJCNN
To achieve better results on object detection for autonomous vehicle under complex outdoor conditions, we attempt to integrated the sensor-fusion, hierarchical multi-view networks and traditional heuristical method together. The most significant envi
Publikováno v:
SAE Technical Paper Series.
Publikováno v:
Web of Science
This work at the Laboratory for Industrial and Applied Mathematics on the theoretical foundation and applications of projected clustering of high dimensional and big data has been supported by a number of programs and funding agencies including the C
Publikováno v:
Biomat 2013 - International Symposium on Mathematical & Computational Biology; 2014, p85-106, 22p