Long-short term memory neural networks language modeling for handwriting recognition

By Volkmar Frinken, Francisco Zamora-Martínez, Salvador España Boquera, María José Castro Bleda, Andreas Fischer, Horst Bunke. 2012

28 citations recorded by the source corpus.

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1. J. Urgen Schmidhuber
2. David R Ha
3. Yoshua Bengio
4. Sergey Levine
5. Quoc V. Le
6. Chelsea Finn
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8. Trevor Darrell

Citations in the corpus

• Deep learning in neural networks: An overview (2014, methodology): “On the long time lag problem of language modeling, LSTM RNNs outperformed all statistical approaches on the IAM-DB benchmark (Frinken et al., 2012); improved results were later obtained through a combination of NNs and HMMs (Zamora-Martínez et al.”