Synthetic data and artificial neural networks for natural scene text recognition, NIPS Deep Learning Workshop, 2014. ,
A Pattern Classification Method of Linear-Time Learning and Constant-Time Classification, IEICE, vol.89, issue.11, pp.981-992, 2006. ,
Gradient-based learning applied to document recognition, Proceedings of the IEEE, pp.2278-2324, 1998. ,
DOI : 10.1109/5.726791
URL : http://www.cs.berkeley.edu/~daf/appsem/Handwriting/papers/00726791.pdf
Lexicon-driven segmentation and recognition of handwritten character strings for Japanese address reading, TPAMI, issue.11, pp.241425-1437, 2002. ,
End-to-End Text Recognition with Convolutional Neural Networks, ICPR, p.2012 ,
Rectified Linear Units Improve Restricted Boltzmann Machines, pp.807-814, 2010. ,
Improving neural networks by preventing co-adaptation of feature detectors, Clinical Orthopaedics and Related Research, vol.abs, 1207. ,
Adaptive subgradient methods for online learning and stochastic optimization, Journal of Machine Learning Research, vol.12, pp.2121-2159, 2011. ,