Publications (45)
TECM: Transfer Learning-based Evidential C-Means Clustering
Lianmeng Jiao, Feng Wang, Zhun-ga Liu +1
As a representative evidential clustering algorithm, evidential c-means (ECM) provides a deeper insight into the data by allowing an object to belong not only to a single class, bu…
Network Security in the Industrial Control System: A Survey
Yang Li, Shihao Wu, Quan Pan
Along with the development of intelligent manufacturing, especially with the high connectivity of the industrial control system (ICS), the network security of ICS becomes more impo…
Arithmetic Average Density Fusion -- Part IV: Distributed Heterogeneous Fusion of RFS and LRFS Filters via Variational Approximation
Tiancheng Li, Haozhe Liang, Guchong Li +2
This paper, the fourth part of a series of papers on the arithmetic average (AA) density fusion approach and its application for target tracking, addresses the intricate challenge…
OTHR multitarget tracking with a GMRF model of ionospheric parameters
Zhen Guo, Zengfu Wang, Hua Lan +2
The ionosphere is the propagation medium for radio waves transmitted by an over-the-horizon radar (OTHR). Ionospheric parameters, typically, virtual ionospheric heights (VIHs), are…
Semi-supervised evidential label propagation algorithm for graph data
Kuang Zhou, Arnaud Martin, Quan Pan
In the task of community detection, there often exists some useful prior information. In this paper, a Semi-supervised clustering approach using a new Evidential Label Propagation…
Evidential relational clustering using medoids
Kuang Zhou, Arnaud Martin, Quan Pan +1
In real clustering applications, proximity data, in which only pairwise similarities or dissimilarities are known, is more general than object data, in which each pattern is descri…