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Automatic performance evaluation of printed Chinese character recognition systems., , , и . Int. J. Document Anal. Recognit., 4 (3): 177-182 (2002)Multi-font printed Mongolian document recognition system., , , , , , и . Int. J. Document Anal. Recognit., 13 (2): 93-106 (2010)Contextual post-processing based on the confusion matrix in offline handwritten Chinese script recognition., , , и . Pattern Recognit., 37 (9): 1901-1912 (2004)A Boosting Approach to Exploit Instance Correlations for Multi-Instance Classification., , , и . IEEE Trans. Neural Networks Learn. Syst., 27 (12): 2740-2747 (2016)Unified HMM-based layout analysis framework and algorithm., , и . Sci. China Ser. F Inf. Sci., 46 (6): 401-408 (2003)Knowledge Extraction Based Multilayer Feedforward Neural Networks., , , и . ICONIP, стр. 931-935. IOA Press, (1998)Speeding up the training process of the MFNN by optimizing the hidden layers' outputs., , и . Neurocomputing, 11 (1): 89-100 (1996)Advanced topics in character recognition and document analysis: Research works in Intelligent Image & Document Research Lab, Tsinghua University.. DRR, том 7247 из SPIE Proceedings, стр. 72470D. SPIE, (2009)New statistical method for machine-printed Arabic character recognition., , , и . DRR, том 5676 из SPIE Proceedings, стр. 127-135. SPIE, (2005)A new document authentication method by embedding deformation characters., , , и . DRR, том 6067 из SPIE Proceedings, стр. 60670G. SPIE, (2006)