Add to ORKGAbstract-We consider the problem of fusing local decision outputs into a global decision with a budget constraint. Each local decision maker is assumed to provide finite output regarding two competing hypotheses. A fusion rule is characterized by probabilistic mixing of decision trees corresponding to determin istic policies to reach a global decision. For practical problems where maximizing detection probability is of primary concern, we propose to optimize the fusion rule under the budget constraint via dynamic programming. The proposed algorithm can construct the complete efficient front of the detection probability vs. cost for practical decision fusion problems. Illustrative examples regard ing the luggage inspection for potentially ha...
A distributed sensor network deployed to detect a binary event using a hard decision fusion scheme i...
The problem of decision fusion in distributed sensor systems is considered. Distributed sensors pass...
The problem of optimal data fusion in the sense of the Neyman- Pearson (N-P) test in a centralized f...
Focussed Bayesian fusion is a local Bayesian fusion technique by that high costs caused by Bayesian ...
We consider the problem of decision fusion for binary event detection using a sensor network of node...
In this paper we focus on two often considered distinct aims, namely maximizing of an utility functi...
The problem of optimal data fusion in multiple detection systems is studied in the case where traini...
In engineering design, it was shown by von Neumann that a reliable system can be built using unrelia...
Abstract—In this letter we study the problem of channel-aware decision fusion when the sensor detect...
We investigate algorithms for different steps in the decision making process, focusing on systems wh...
The design of the optimal non-randomized hard decision fusion rule under Neyman-Pearson (NP) criteri...
This paper proposes a new method for solving Bayesian decision problems. The method con-sists of rep...
The problem of decision fusion in distributed sensor system is considered. Distributed sensors pass ...
Optimum decision fusion in the presence of malicious nodes-often referred to as Byzantines-is hinder...
We propose a binary decision fusion rule that reaches a global decision on the presence of a target ...
A distributed sensor network deployed to detect a binary event using a hard decision fusion scheme i...
The problem of decision fusion in distributed sensor systems is considered. Distributed sensors pass...
The problem of optimal data fusion in the sense of the Neyman- Pearson (N-P) test in a centralized f...
Focussed Bayesian fusion is a local Bayesian fusion technique by that high costs caused by Bayesian ...
We consider the problem of decision fusion for binary event detection using a sensor network of node...
In this paper we focus on two often considered distinct aims, namely maximizing of an utility functi...
The problem of optimal data fusion in multiple detection systems is studied in the case where traini...
In engineering design, it was shown by von Neumann that a reliable system can be built using unrelia...
Abstract—In this letter we study the problem of channel-aware decision fusion when the sensor detect...
We investigate algorithms for different steps in the decision making process, focusing on systems wh...
The design of the optimal non-randomized hard decision fusion rule under Neyman-Pearson (NP) criteri...
This paper proposes a new method for solving Bayesian decision problems. The method con-sists of rep...
The problem of decision fusion in distributed sensor system is considered. Distributed sensors pass ...
Optimum decision fusion in the presence of malicious nodes-often referred to as Byzantines-is hinder...
We propose a binary decision fusion rule that reaches a global decision on the presence of a target ...
A distributed sensor network deployed to detect a binary event using a hard decision fusion scheme i...
The problem of decision fusion in distributed sensor systems is considered. Distributed sensors pass...
The problem of optimal data fusion in the sense of the Neyman- Pearson (N-P) test in a centralized f...