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Here, vision-based inspection systems are useful only when features are extracted from RoIs, and classification is achieved between defects and pseudo defects and then between the defects themselves.
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Classification is achieved by an affine set that in a given space maximizes a distance between this set and the predictors of both outcome classes.
The classification is achieved by a multilayer perceptron.
The classification is achieved by hierarchical clustering of these frequency patterns.
A good classification was achieved.
Accurate classification was achieved in the present study without any pre-processing of the CSF samples.
One hundred percent correct classification was achieved for the two parental types RR and LL, whereas correct classification of hybrids was only between 80 and 90%.
For females, optimal classification was achieved at θ = 76 77 %.
Gene ontology classification was achieved using GenoList (Institut Pasteur, Paris).
For males, optimal classification was achieved over θ = 67 85 %.
This process was repeated until no further improvement in the classification was achieved.
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