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We successfully combined globally extracted holistic features and local descriptors for identification using a decision fusion scheme.
To overcome the limitations of our previous work, we combine holistic global features and locally extracted descriptors using a decision fusion scheme.
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Starting from the assumption that a combination of global and local descriptors should improve the performance and robustness of the system, we use a decision fusion scheme to combine their strengths.
These results are lower compared to those obtained in [20] where the error rate was less than 1 %; however, they used a decision fusion of five words at the same time.
Table 3 Classification results of pregnancy and labor contractions for each channel for the test data by using a weighted decision fusion rule Weighted decision fusion method (in %) Classification accuracy of pregnancy contractions 95.2 Classification accuracy of labor contractions 89.3 Overall classification accuracy 92.4.
By using a weighted decision fusion method, the overall classification accuracy was higher than any of the individual channels.
The coalition head combines the local sensing decisions (including its own sensing decision) using an OR decision fusion rule.
A decision fusion rule using the total number of detections reported by the local sensors for hypothesis testing and the total number of detections that report "1" to the fusion center (FC) is studied for a wireless sensor network (WSN) with distributed sensors.
In Section 4, we develop a decision fusion model in which the fusion center updates the decisions over time while nodes make binary decisions based on the observations collected during one time step when the target location is random.
Herein, we use a decision-level data fusion method which combines sensor information after each sensor has made a preliminary decision.
This paper proposes an autonomic prediction suite using the decision fusion technique for the resource provisioning of the IaaS layer of the cloud computing environment.
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