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The results of running the simulation using the contextual detection with the content detection for both datasets are shown in Figure 5.
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Second, the contextual detection uses a correlation matrix of the attributes for the sensors to further apply context to incoming values for comparison.
Another important implementation detail is the determination in the number of sensor profiles to create during the contextual detection process.
The contextual detection algorithm works on multiple dimensions of the dataset, and thus has a higher computational complexity in comparison to the content detector.
The discovery process uses the contextual information of the service requester at service discovery time.
Similar to the work proposed in this paper is their use of contextual detection as a post-processing step.
use the query contextual information to make sure the ConfiguredService context rules are met. .
use the query contextual information to make sure the ConfiguredService context rules are met.
Finally, we only use the ten contextual variables that were collected in both waves.
In this paper, we investigate the utilization of contextual information for pitch accent and boundary detection by using the auto-context algorithm, which was first proposed in[3] for high-level computer vision tasks like image segmentation.
Using the method of reflective interview brought contextual findings to this research.
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