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discrimination function.
These properties can be combined into a discrimination function introduced in [8] (5).
In addition, the VFF is introduced by the linear mapping of robust discrimination function.
Then, the image is scanned for fiber-center voxels by the means of a discrimination function based on eigenvalue analysis.
Consequently, during the tracing process, the condition of the discrimination function will not be satisfied anymore and the algorithm terminates.
The discrimination function is based on an eigenvalue analysis of the structure that is to be segmented.
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To classify these samples, discrimination functions were used.
Once the discrimination functions are derived, groups are classified.
In this work, the classification functions were derived from the linear discrimination functions.
The multilevel neural networks method with a linear activation function and the method of the discrimination functions are used.
There is a difficulty inherent to the learning process when trying to find the most adequate discrimination functions among the different concepts within the dataset.
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