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In Fig. 26, tracking error graph of methods is shown and as it is clear in the low contrast condition, proposed method based on extended mean-shift algorithm has a lowest error and best precision in target tracking.
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b) There appears good amount of synergy between Fuzzy Topsis method, Line Graph method of ranking and Spider Diagram method of ranking respectively, as from all the methods value for COS for PDM is highest.
Error graph of proposed method and mean-shift algorithm is shown in Fig. 23.
Functionality of models and results of Graph methods have been validated by experimental tests in scale of 1 1.
We notice that the graph of the AOR method is vertically descending, whereas that of the AOAOR method is completely flat, which shows that the IT of the AOAOR method is independent of the choice of γ.
For example, in 2006, Sharan and colleagues published a review of the applications of graph comparison methods to analyze MINs [ 4].
The calibration graph of the proposed method was linear in the range of 10 500 ng g−1 with the correlation coefficient (R2) 0.9982.
The calibration graph of the proposed method was linear in the range of 0.5 2000.0 ng mL− 1 with the determination coefficient (R2) of 0.9986.
Fig. 18 AUC graphs of each method for various JPEG quality factors, bicubic kernel for various JPEG quality factors.
This chapter provides an overview of graph drawing methods and discusses possible future applications of this area to geovisualization.
The algorithm has the advantage over other graph clustering methods of having a directed mode that allows fine-tuning of clusters of interest without considering the rest of the network and allows examination of cluster interconnectivity, which is relevant for protein networks.
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CEO of Professional Science Editing for Scientists @ prosciediting.com