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Numerical entities are recognized using a rule-based system.

This is followed by Arabic character modeling by 'fuzzy' polygons and later recognized using a novel fuzzy polygon matching algorithm.

Named entities are recognized using a combination of three CRF sequence taggers trained on various corpora, such as ACE and MUC.

With the neural network model established, the mechanical parameters are recognized using a genetic algorithm over a large search space in the global range.

The 92 non-linear SVMs in total were constructed with their kernel functions and the parameters were recognized using a genetic algorithm.

In [7], tagged honeybees were detected using a circular Hough transform, and tag characters were recognized using a support vector machine.

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Expression patterns of the five proteins were recognized using an unsupervised hierarchical cluster analysis.

Fractions containing Golgi membranes were recognized using an enzyme assay for UDP-galactosyltransferase, ER fractions were detected with rotenone-insensitive cytochrome C-reductase, and anti-KDEL-sequence antibodies (Majoul et al. 1996; Butkevich et al. 2004).

(A ) Transfection of CAMKIIA into HEK293T cells failed to increase phosphorylation of hFOXO3 at S253. (B ) Overexpression of Calcineurin A into HEK293T cells did not reduce phosphorylation of human FOXO3 at S253, which was recognized using an antibody specific for S253 phosphorylation.

The spectral features of I C 1 and I C 2 and their related physiological meaning would be very difficult to recognize using a few selected wavelengths instead of our broadband system, which allowed us to identify spectral differences shown in Fig. 3. To some extent these issues can be investigated using fMRI.

Therefore, it is impossible to distinguish the nuclear pixel from the cytoplasm pixel by only using pixel intensity, while it is also difficult to recognize using a local patch, which is the feature for representing the centered pixel, due to the irregular appearance of yolk granules.

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