Recognition with LSTM-RNN

[1]  Christopher Kermorvant,et al.  The A2iA Multi-lingual Text Recognition System at the Second Maurdor Evaluation , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

[2]  Alejandro Héctor Toselli,et al.  ICFHR2014 Competition on Handwritten Text Recognition on Transcriptorium Datasets (HTRtS) , 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

[3]  Christopher Kermorvant,et al.  The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation , 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.

[4]  Christopher Kermorvant,et al.  Dropout Improves Recurrent Neural Networks for Handwriting Recognition , 2013, 2014 14th International Conference on Frontiers in Handwriting Recognition.

[5]  Fei Yin,et al.  ICDAR 2013 Chinese Handwriting Recognition Competition , 2013, 2013 12th International Conference on Document Analysis and Recognition.

[6]  Geoffrey E. Hinton,et al.  Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.

[7]  Fei Yin,et al.  CASIA Online and Offline Chinese Handwriting Databases , 2011, 2011 International Conference on Document Analysis and Recognition.

[8]  Fei Yin,et al.  Integrating Language Model in Handwritten Chinese Text Recognition , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[9]  Haikal El Abed,et al.  ICDAR 2009 Handwriting Recognition Competition , 2009, 2009 10th International Conference on Document Analysis and Recognition.

[10]  Jürgen Schmidhuber,et al.  Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks , 2008, NIPS.

[11]  Johan Schalkwyk,et al.  OpenFst: A General and Efficient Weighted Finite-State Transducer Library , 2007, CIAA.

[12]  Sargur N. Srihari,et al.  Offline Chinese handwriting recognition: an assessment of current technology , 2007, Frontiers of Computer Science in China.

[13]  Jürgen Schmidhuber,et al.  Multi-dimensional Recurrent Neural Networks , 2007, ICANN.

[14]  Jürgen Schmidhuber,et al.  Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks , 2006, ICML.

[15]  Chew Lim Tan,et al.  A hybrid post-processing system for offline handwritten Chinese script recognition , 2005, Pattern Analysis and Applications.

[16]  Anthony McEnery,et al.  The Lancaster Corpus of Mandarin Chinese: A Corpus for Monolingual and Contrastive Language Study , 2004, LREC.

[17]  Andreas Stolcke,et al.  SRILM - an extensible language modeling toolkit , 2002, INTERSPEECH.

[18]  Chiu-yu Tseng,et al.  Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary but limited training data , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[19]  Ian H. Witten,et al.  The zero-frequency problem: Estimating the probabilities of novel events in adaptive text compression , 1991, IEEE Trans. Inf. Theory.

[20]  Daniel Povey,et al.  The Kaldi Speech Recognition Toolkit , 2011 .

[21]  A. Parkes.  Finite State Transducers , 2008 .

[22]  Yoshua Bengio,et al.  Hierarchical Probabilistic Neural Network Language Model , 2005, AISTATS.

[23]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.