Name
Abstract | ||
|---|---|---|
In this paper, we propose a regular vine copula based methodology for the fusion of correlated decisions. Regular vine copula is an extremely flexible and powerful graphical model to characterize complex dependence among multiple modalities. It can express a multivariate copula by using a cascade of bivariate copulas, the so-called pair copulas. Assuming that local detectors are single threshold b... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2019.2901379 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Standards,Detectors,Signal processing algorithms,Numerical models,Random variables,Distribution functions | Mathematical optimization,Multivariate statistics,Copula (linguistics),Cascade,Vine copula,Graphical model,Bivariate analysis,Mathematics,Computational complexity theory,Binary number | Journal |
Volume | Issue | ISSN |
67 | 8 | 1053-587X |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shan Zhang | 1 | 13 | 3.33 |
| Lakshmi Narasimhan Theagarajan | 2 | 7 | 4.88 |
| Sora Choi | 3 | 30 | 4.90 |
| Pramod K. Varshney | 4 | 6689 | 594.61 |