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We add a normalization step to rectify perspective distortion before candidate text region classification which improves the accuracy and robustness of the final output result.
Before candidate pixels are fit to a parametric model, a candidate verification algorithm analyzes characteristics of the candidate pixels in order to remove pixels which are unlikely to contribute to an accurate fit of the eyelid.
In formula 1 and 2, ( n={displaystyle sum_{l_iin L}Cleft w,{l}_iright)},m={displaystyle sum_{r_jin R}Cleft w,{r}_jright)} ),where m and n represent the total frequency times of single word appearing before candidate word and after candidate word, respectively; C w, l i ) and C w, l i ) are respectively the frequency times of word; l i and r j appears in the candidate words w context.
The text mining technique of term frequency inverse document frequency is used to measure the importance of distinguished terms which reflect biomedical activity in rice before candidate genes are screened and vital terms are produced.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com