Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Zhouwang Yang"'
Publikováno v:
PeerJ Computer Science, Vol 9, p e1480 (2023)
Training deep neural networks requires a large number of labeled samples, which are typically provided by crowdsourced workers or professionals at a high cost. To obtain qualified labels, samples need to be relabeled for inspection to control the qua
Externí odkaz:
https://doaj.org/article/e87dfffc9f6944fd8e710ea49ed4422c
Publikováno v:
Algorithms, Vol 16, Iss 10, p 492 (2023)
Clustering problems are prevalent in areas such as transport and partitioning. Owing to the demand for centralized storage and limited resources, a complex variant of this problem has emerged, also referred to as the weakly balanced constrained clust
Externí odkaz:
https://doaj.org/article/11332bcd531d4780b623474dbc6d3c96
Publikováno v:
Biomimetics, Vol 8, Iss 2, p 158 (2023)
In the biomedical field, the time interval from infection to medical diagnosis is a random variable that obeys the log-normal distribution in general. Inspired by this biological law, we propose a novel back-projection infected–susceptible–infect
Externí odkaz:
https://doaj.org/article/9e4b1a9c72e9448191544fb7be40b68c
Publikováno v:
IEEE Access, Vol 8, Pp 106601-106613 (2020)
Subspace segmentation assumes that data comes from the union of different subspaces and the purpose of segmentation is to partition the data into the corresponding subspace. Low-rank representation (LRR) is a classic spectral-type method for solving
Externí odkaz:
https://doaj.org/article/e7e10932038342e58d8de82871c1d056
Autor:
Jingyuan Hu, Zhouwang Yang
Publikováno v:
Future Internet, Vol 14, Iss 12, p 384 (2022)
Head detection is a fundamental task, and it plays an important role in many head-related problems. The difficulty in creating the local and global context in the face of significant lighting, orientation, and occlusion uncertainty, among other facto
Externí odkaz:
https://doaj.org/article/9edf50376e364a3bb5f0b37b7f33a717
Autor:
Songtao Guo, Zhouwang Yang
Publikováno v:
Informatics in Medicine Unlocked, Vol 12, Iss , Pp 67-74 (2018)
This paper proposes a feasible framework towards skin lesion analysis, named Multi-Channel-ResNet. The basic idea is to assemble multiple residual neural networks (ResNets), in which the training data has been pretreated with different methods. For d
Externí odkaz:
https://doaj.org/article/494276508b92448d88de0ee2ce4b3877
Publikováno v:
Future Internet, Vol 11, Iss 6, p 123 (2019)
Vehicle speed estimation is an important problem in traffic surveillance. Many existing approaches to this problem are based on camera calibration. Two shortcomings exist for camera calibration-based methods. First, camera calibration methods are sen
Externí odkaz:
https://doaj.org/article/2a0e7e63356648bb967dea9fbd51cad7
Publikováno v:
Communications in Computational Physics. 33:538-567
Publikováno v:
Journal of Computational Mathematics. 40:592-609
Publikováno v:
Computers & Graphics. 102:592-600
Instance segmentation is an essential part of image semantic understanding. In this paper we propose a novel cascade framework for instance segmentation. Unlike some existing methods that only output contour discrete coordinates, our approach obtains