基于CNN和随机弹性形变的相似手写汉字识别

[1] Effective training of a neural network character classifier for word recognition. Yaeger L,Lyon R,Webb B. Advances in Neural Information Processing Systems 10 . 1997

[2] Gradient-based learning applied to document recognition. Lecun, Y.,Bottou, L.,Bengio, Y.,Haffner, P. Proceedings of Tricomm . 1998

[3] A new feature optimization method based on two-directional 2DLDA for handwritten Chinese character recognition. Gao X,Wen W H,Jin L W. Proceedings of 2011International Conference on Document Analysis and Recognition . 2011

[4] HCL2000:a large-scale handwritten Chinese character database for handwritten character recognition. Zhang H,Guo J,Chen G,et al. Proceedings of 2009 International Conference on Document Analysis and Recognition . 2009

[5] Classification and learning methods for character recognition:advances and remaining problems. Liu C L,Fujisawa H. Machine Learning in Document Analysis and Recognition . 2008

[6] A fast learning algorithm for deep belief nets. Geoffrey E. Hinton,Simon Osindero,Yee-Whye Teh. Neural Computation . 2006

[7] Face Relighting from a Single Image under ArbitraryUnknown Lighting Conditions. Y. Wang,L. Zhang,Z. C. Liu, et al. IEEE Transactions on Pattern Analysis and MachineIntelligence . 2009

[8] Learning deep architectures for AI. Bengio,Yoshua. Foundations and Trends in Machine Learning . 2009

[9] Convolutional networks for speech detection. Sukittanon S,Surendran A C,Platt J C,et al. Proceedings of the Eighth International Conference on Spoken Language Processing . 2004

[10] Evaluation of pooling operations in convolutional architectures for object recognition. Scherer D,Müller A,Behnke S. Proceedings of the 20th International Conference on Artificial Neural Networks . 2010

[1] Effective training of a neural network character classifier for word recognition. Yaeger L,Lyon R,Webb B. Advances in Neural Information Processing Systems 10 . 1997

[2] Gradient-based learning applied to document recognition. Lecun, Y.,Bottou, L.,Bengio, Y.,Haffner, P. Proceedings of Tricomm . 1998

[3] A new feature optimization method based on two-directional 2DLDA for handwritten Chinese character recognition. Gao X,Wen W H,Jin L W. Proceedings of 2011International Conference on Document Analysis and Recognition . 2011

[4] HCL2000:a large-scale handwritten Chinese character database for handwritten character recognition. Zhang H,Guo J,Chen G,et al. Proceedings of 2009 International Conference on Document Analysis and Recognition . 2009

[5] Classification and learning methods for character recognition:advances and remaining problems. Liu C L,Fujisawa H. Machine Learning in Document Analysis and Recognition . 2008

[6] A fast learning algorithm for deep belief nets. Geoffrey E. Hinton,Simon Osindero,Yee-Whye Teh. Neural Computation . 2006

[7] Face Relighting from a Single Image under ArbitraryUnknown Lighting Conditions. Y. Wang,L. Zhang,Z. C. Liu, et al. IEEE Transactions on Pattern Analysis and MachineIntelligence . 2009

[8] Learning deep architectures for AI. Bengio,Yoshua. Foundations and Trends in Machine Learning . 2009

[9] Convolutional networks for speech detection. Sukittanon S,Surendran A C,Platt J C,et al. Proceedings of the Eighth International Conference on Spoken Language Processing . 2004

[10] Evaluation of pooling operations in convolutional architectures for object recognition. Scherer D,Müller A,Behnke S. Proceedings of the 20th International Conference on Artificial Neural Networks . 2010