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The original database covers 128 country-surveys.
At first, we propose a FFEA to validly extraction the feature variables from the original database.
It is assumed that the query image is the rotated version of the original database image.
We used only the original database (database 3) in this evaluation for both approaches.
Performance of the ANN model was compared with statistical analysis using datasets that were kept apart from the original database.
Thus, the projected databases contain only suffixes of the data-sequences from the original database, grouped by prefixes.
The compounds have been divided into classes differently than in our study and in the original database.
The method of synthesizing is simply rescaling the images that have closest scale changes in the original database.
Synthesis is only based on the model without needing to reuse any motion segment from the original database.
Face de-identification techniques provide no guarantee that only faces in the original database will match the de-identified ones.
In the second test, two musical instruments (Alto Sax and Flute, respectively) were taken randomly from the original database.
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