Abstract
Generally, the present disclosure is directed to serving font files in topical subsets. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict topic labels of characters in a font based on a corpus of characters or glyphs.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Wang, Quan and Mao, Yiran, "Learning Better Font Slicing Strategies from Data", Technical Disclosure Commons, (December 07, 2017)
https://www.tdcommons.org/dpubs_series/906
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