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Cursive handwriting has several properties that make it an interesting challenge for machine learning, including the wide diversity of letter forms, the need to integrate context information, and the difficulty of segmenting into individual characters. This talk presents a suite of recurrent neural network models able to transcribe and generate cursive handwriting, leading to state-of-the-art performance in both areas.
Informations
- Lionel Maurice
- 20 mars 2014 00:00
- Colloques et Conférences
- Français
