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Discovering calligraphy style relationships by Supervised Learning Weighted Random Walk Model.

, , and . Multim. Syst., 15 (4): 221-242 (2009)

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Hierarchical Approximate Matching for Retrieval of Chinese Historical Calligraphy Character., , , and . J. Comput. Sci. Technol., 22 (4): 633-640 (2007)Ontology-based model for Chinese Calligraphy Synthesis., , , , and . Comput. Graph. Forum, 32 (7): 11-20 (2013)Research of 3D Chinese Calligraphic Handwriting Recur System and Its Key Algorithm., , , , and . MIRAGE, volume 4418 of Lecture Notes in Computer Science, page 105-116. Springer, (2007)Latent Style Model: Discovering writing styles for calligraphy works., , and . J. Vis. Commun. Image Represent., 20 (2): 84-96 (2009)In-depth utilization of Chinese ancient maps: a hybrid approach to digitizing map resources in CADAL., , , , , and . JCDL, page 263-272. ACM, (2010)Bayesian relevance feedback based Chinese calligraphy character synthesis., , and . ICME, page 1-6. IEEE Computer Society, (2016)Web based Chinese Calligraphy Learning with 3-D Visualization Method., , , and . ICME, page 2073-2076. IEEE Computer Society, (2006)SH-MQDF based calligraphic character recognition., and . ICME Workshops, page 1-6. IEEE Computer Society, (2014)Chinese Calligraphy Character Image Recognition and Its Applications in Web and Wechat Applet Platform., and . JCDL, page 253-260. ACM, (2020)Fast Chinese calligraphic character recognition with large-scale data., , , , and . Multimedia Tools Appl., 74 (17): 7221-7238 (2015)