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• W2312338520 abstract "The feature selective validation method has been shown to provide results that are in broad agreement with the visual assessment of a group of engineers for line, 1-D, data. An implementation using 2-D Fourier transforms and derivatives have been available for some years, but verification of the performance has been difficult to obtain. Further, that approach does not naturally scale well for 3-D and higher degrees of freedom, particularly if there are sizable differences in the number of points in the different directions. This paper describes an approach based on repeated 1-D FSV analyses that overcomes those challenges. The ability of the 2-D case to mirror user perceptions is demonstrated using the LIVE database. Its extension to n -dimensions is also described and includes a suggestion for weighting the algorithm based on the number of data points in a given “direction.”" @default.
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• W2312338520 date "2016-06-01" @default.
• W2312338520 modified "2023-09-24" @default.
• W2312338520 title "Comparison of Data With Multiple Degrees of Freedom Utilizing the Feature Selective Validation Method" @default.
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• W2312338520 doi "https://doi.org/10.1109/temc.2016.2543958" @default.
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