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The proposed method requires higher computation times than the GMM-based method.
Generally a multivariate method requires higher running time than univariate method.
ImageJ method requires higher levels of operator training for image analysis than Image SXM, due to the subjective nature of the analysis process.
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However, the proposed method requires high computational complexity due to the sequential confidence-based ME.
However, this hierarchical FRU method requires high computational complexity and it could still have blocky artifacts.
However, the method requires high computational cost to find an optimal solution [10].
However, the proposed method requires high computational complexity, according to the initial GOP size.
However, this simple method requires high amount of memory to provide accuracy.
The latter method requires high shock energy and careful minimization of the shock reflections.
Just as in the case of PTS, this method requires high computational overhead, as well as the transmission of side information.
This method requires high-resolution images where salient edges of a target can be detected, and may not be appropriate for ATR in practical IR imagery.
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