Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization

Pierre Poitier, Jérôme Fink, Benoît Frénay. Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization. In 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges, Belgium, October 5-7, 2022. 2022. [doi]

Abstract

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