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In the first experiment, a set of 14 videos was selected for evaluating our approach performance on different types of dynamic textures.
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This paper deals with a comprehensive review of three-phase, power quality improvement converter configurations, control approaches, performance on supply and load sides in terms of input power factor, THD and well-regulated, reduced-rippled dc output, power rating, cost and selection for specific applications.
We highlight the approach's performance on many complex CAD models corresponding to an office and a warehouse.
Sum of Magnitudes (SM): This first approach bases its performance on measuring changes in the energy of the signal.
Experimental results indicate that new approach shows superior performance on preserving image edge and curvature geometric structure.
Overall, our approach achieved highest performance on ({mathcal {F}}_1) (Tables 3, 4) and ({{mathcal {F}}_1, {mathcal {F}}_2}) (Table 6), in terms of all metrics.
Experiments demonstrate that our approach achieves strong performance on par or better than state-of-the-art algorithms on three public hand pose datasets.
We carry out extensive evaluations and comparative studies, which demonstrate that the proposed approach gives superior performance on both accuracy and speed.
Although this approach shows superior performance on several datasets, it yields errors when global skews are present as illustrated in Fig. 6 a. Fig. 6 a CC grouping result.
We now introduce and describe the different functions considered: 1. Sum of Magnitudes (SM): This first approach bases its performance on measuring changes in the energy of the signal.
In general, we observed the followings: Overall, our approach achieved highest performance on ({mathcal {F}}_1) (Tables 3, 4) and ({{mathcal {F}}_1, {mathcal {F}}_2}) (Table 6), in terms of all metrics.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com