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Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields.

, , , , , and . ICDAR, page 58-62. IEEE Computer Society, (2011)

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Latent face model for across-media face recognition., , , , and . Neurocomputing, (2016)Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition., , , , and . Pattern Recognition, 47 (5): 1904-1916 (2014)CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters., , , and . ICDAR, page 1206-1210. IEEE Computer Society, (2009)Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields., , , , , and . ICDAR, page 58-62. IEEE Computer Society, (2011)Keyword Spotting in Online Chinese Handwritten Documents with Candidate Scoring Based on Semi-CRF Model., , and . ICDAR, page 567-571. IEEE Computer Society, (2013)An approach for real-time recognition of online Chinese handwritten sentences., , and . Pattern Recognition, 45 (10): 3661-3675 (2012)Bootstrapping Joint Bayesian model for robust face verification., , , , and . ICB, page 1-6. IEEE, (2016)Keyword spotting in handwritten chinese documents using semi-markov conditional random fields., , and . Eng. Appl. of AI, (2017)Handwritten Chinese Character Recognition by Joint Classification and Similarity Ranking., , , and . ICFHR, page 507-511. IEEE Computer Society, (2016)Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (10): 2413-2426 (2013)