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A measure of total economic activity arrived at by such methods as these serves, in effect, as a control total for making long-range forecasts of the constituent elements of the economy.
The review prioritises interface capturing methods over interface tracking methods, as these have shown themselves to be more generally applicable to viscous flows of practical engineering interest, particularly when complex and rapidly changing surface topologies are encountered.
It is therefore not as closely related to the other methods as these are with each other.
Our experience has confirmed the advantage of using combined methods, as these methods have enabled us to improve the quality of the descriptors.
The proposed 2D DGHM-based method is first compared with the classical 2D-PCA [25], 2D-LDA [27], 2D-CCA [29], and 2D KCM [43] methods as these methods represent competitive algorithms in the area of constrained face recognition using the PCA, LDA, CCA, and orthogonal moments, respectively.
Thus, we excluded local tone mapping methods, as these can generate contrast artefacts.
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Theoretical aspects of these methods as well as detailed applications drawn from economics, political science, education, and health care.
Both the strong points of these methods, as well as their weak areas, have been highlighted.
An overview of these methods, as well as related references, can be found in [1],[2].
Some local detail in the background seems to be enhanced by these methods as well.
For each cluster, the percentage of the lung it comprised was compared between the two methods, as well as how these values persisted as SNR was degraded.
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