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A comprehensive study of deep bidirectional LSTM RNNS for acoustic modeling in speech recognition.

, , , , and . ICASSP, page 2462-2466. IEEE, (2017)

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On the Benefits of Convolutional Neural Network Combinations in Offline Handwriting Recognition., , and . ICFHR, page 193-198. IEEE Computer Society, (2016)Improvement of Context Dependent Modeling for Arabic Handwriting Recognition., , and . ICFHR, page 494-499. IEEE Computer Society, (2014)Comparison of Bernoulli and Gaussian HMMs Using a Vertical Repositioning Technique for Off-Line Handwriting Recognition., , , , , and . ICFHR, page 3-7. IEEE Computer Society, (2012)Cross-entropy vs. squared error training: a theoretical and experimental comparison., , and . INTERSPEECH, page 1756-1760. ISCA, (2013)Bidirectional Decoder Networks for Attention-Based End-to-End Offline Handwriting Recognition., , and . ICFHR, page 361-366. IEEE Computer Society, (2016)Fast and Robust Training of Recurrent Neural Networks for Offline Handwriting Recognition., , and . ICFHR, page 279-284. IEEE Computer Society, (2014)Bagging by design for continuous Handwriting Recognition using multi-objective particle swarm optimization., , and . ICDAR, page 256-260. IEEE Computer Society, (2015)relocated from Tunis, Tunisia.Improvements in RWTH's System for Off-Line Handwriting Recognition., , and . ICDAR, page 935-939. IEEE Computer Society, (2013)Handwriting Recognition with Large Multidimensional Long Short-Term Memory Recurrent Neural Networks., , and . ICFHR, page 228-233. IEEE Computer Society, (2016)Towards Unsupervised Learning for Handwriting Recognition., , , and . ICFHR, page 549-554. IEEE Computer Society, (2014)