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As explained in Subsection 2.1.1, this value is the parameter μglobal.
As explained in subsection 4.4 extended mean-shift algorithm is more robust than mean-shift algorithm under object deformation.
As explained in subsection 4.3, mean-shift algorithm uses color feature to find target location in subsequent frames.
As explained in Subsection 4.2, the estimated averaged magnetization intensity of Shinmoe-dake is about 1.5 A/m.
As explained in Subsection 3.1, a highly-reduced dynamic POD is conducted using the best gravitational force models in order to estimate time series of non-gravitational accelerations.
In the presence of more than two MUEs, we assume a time slot-based orthogonal resource allocation for the MUE transmissions as explained in Subsection 4.1.
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Note that the performance differences are statistically significant, as explained in subsections Empirical (Synthetic) sequences: classification analysis and results.
As already explained in subsection 2.2, we wish to avoid considering these additional parameters in the discussion.
The motivation for the pattern classification is to automatically group audio signals of same characteristics using the discriminatory features derived as explained in previous subsection.
Our initial intention was to solve the covering problem by solving partial covering problems until all the tests had been covered, as explained in the subsection "Methods".
Also in this paper, to propose a method which could be robust against object size and shape variation, extended mean-shift algorithm as explained in the subsection 4.4 will replace with mean-shift algorithm.
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