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A schema extraction algorithm is used to extract source schemas automatically, and a mapping computation algorithm is responsible for mapping them to the global ontology.
When NC2 < 0.5, it is thought this extraction algorithm is failure and almost could not extract the watermark information.
The pattern extraction algorithm is presented in Algorithm 1.
The features extraction algorithm is based on the Wavelet Transform (WT).
The data extraction algorithm is presented in Algorithm 4. Algorithm 3: Data hiding algorithm.
The implementation of the retinal vessel tree extraction algorithm is straightforward.
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The initial extraction algorithm was reused, and a genetic algorithm implemented for classification.
Next, PSB is illustrated and the embedding and the extraction algorithm are described.
The retinal vessel tree extraction algorithm was proposed by Alonso-Montes et al. [9].
The retinal vessel tree extraction algorithm was tested employing a PC-based solution.
As with the heuristic classification algorithm, the initial extraction algorithm was used to provide the set of segments.
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