Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jianshuai Feng"'
Publikováno v:
Sensors, Vol 23, Iss 10, p 4659 (2023)
In advanced transportation-management systems, variable speed limits are a crucial application. Deep reinforcement learning methods have been shown to have superior performance in many applications, as they are an effective approach to learning envir
Externí odkaz:
https://doaj.org/article/4cbcf5fb53434b69aab4d4b8a070d912
Publikováno v:
Advances in Mechanical Engineering, Vol 6 (2014)
The problem of missing data in multiway arrays (i.e., tensors) is common in many fields such as bibliographic data analysis, image processing, and computer vision. We consider the problems of approximating a tensor by another tensor with low multilin
Externí odkaz:
https://doaj.org/article/b2f96eadf3d4467bb3103a3b1020127a
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2014 (2014)
The problem of data recovery in multiway arrays (i.e., tensors) arises in many fields such as computer vision, image processing, and traffic data analysis. In this paper, we propose a scalable and fast algorithm for recovering a low-n-rank tensor wit
Externí odkaz:
https://doaj.org/article/85f60e37edf44fde9e3981e840a76752
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2015 (2015)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Traffic speed data plays a key role in Intelligent Transportation Systems (ITS); however, missing traffic data would affect the performance of ITS as well as Advanced Traveler Information Systems (ATIS). In this paper, we handle this issue by a novel
Publikováno v:
Neurocomputing. 119:144-152
The problem of recovering data in multi-way arrays (i.e., tensors) arises in many fields such as image processing and computer vision, etc. In this paper, we present a novel method based on multi-linear n-rank and @?"0 norm optimization for recoverin
Publikováno v:
Mathematical Problems in Engineering. 2013, p1-8. 8p.
Publikováno v:
Transportation Research Part C: Emerging Technologies. 28:15-27
Missing and suspicious traffic data are inevitable due to detector and communication malfunctions, which adversely affect the transportation management system (TMS). In this paper, a tensor pattern which is an extension of matrix is introduced into m
Publikováno v:
Advances in Mechanical Engineering, Vol 6 (2014)
The problem of missing data in multiway arrays (i.e., tensors) is common in many fields such as bibliographic data analysis, image processing, and computer vision. We consider the problems of approximating a tensor by another tensor with low multilin
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2014 (2014)
The problem of data recovery in multiway arrays (i.e., tensors) arises in many fields such as computer vision, image processing, and traffic data analysis. In this paper, we propose a scalable and fast algorithm for recovering a low-n-rank tensor wit
Publikováno v:
Mathematical Problems in Engineering, Vol 2013 (2013)
Traffic volume data is already collected and used for a variety of purposes in intelligent transportation system (ITS). However, the collected data might be abnormal due to the problem of outlier data caused by malfunctions in data collection and rec