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Apr 23, 2019 · This paper proposes a modified covariance intersection method for data fusion in such networks. It is derived by formulating a mixed game model ...
Oct 10, 2017 · This paper proposes a modified covariance intersection method for data fusion in such networks. It is derived by formulating a mixed game model ...
This paper proposes a modified covariance intersection method for data fusion in such networks. It is derived by formulating a mixed game model between neighbor ...
A modified covariance intersection method for data fusion in nonhomogeneous monitoring networks is derived by formulating a mixed game model between ...
This paper proposes a modified covariance intersection method for data fusion in such networks. It is derived by formulating a mixed game model between neighbor ...
Apr 23, 2019 · This paper proposes a modified covariance intersection method for data fusion in such networks. It is derived by formulating a mixed game model ...
... One of the most popular methods of data fusion is based on covariance intersection (CI) algorithm that takes convex combination of mean and covariance of ...
Inverse covariance intersection: New insights and properties · Modified covariance intersection for data fusion in distributed nonhomogeneous monitoring systems ...
Improved fast covariance intersection for distributed data fusion. In Proceedings of the 7th International Conference on Information Fusion, Philadelphia ...
An efficient and robust distributed fusion algorithm combining the Generalized Covariance Intersection (GCI) rule with a suitable Clustering Algorithm (CA) is ...
Missing: Non- homogeneous