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A Candidate Lattice Refinement Method for Online Handwritten Japanese Text Recognition.

, , and . ICFHR, page 216-221. IEEE Computer Society, (2016)

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A Case Base Reasoning System On The Internet For Knowledge Sharing / Reusing On Information Technology Education., and . Educating Professionals for Network-Centric Organisation, volume 145 of IFIP Conference Proceedings, page 105-114. Kluwer, (1998)A Robust Model for On-line Handwritten Japanese Text Recognition., , , and . DRR, volume 7247 of SPIE Proceedings, page 72470B. SPIE, (2009)Attention Augmented Convolutional Recurrent Network for Handwritten Japanese Text Recognition., , and . ICFHR, page 163-168. IEEE, (2020)A Siamese Network-based Approach For Matching Various Sizes Of Excavated Wooden Fragments., , and . ICFHR, page 307-312. IEEE, (2020)Extension of the IdeaBoard for Educational Applications., , and . HCI (1), page 213-217. Lawrence Erlbaum, (1999)On Modeling Conceptual and Narrative Structure of Fairytales., , , and . EJC, volume 105 of Frontiers in Artificial Intelligence and Applications, page 248-265. IOS Press, (2003)Pen-Based Interfaces for Drawing Figures with 'Stationery Metaphors'., , , and . HCI (2), page 1046-1051. Elsevier, (1993)0-444-89540-X.The Impact of Large Training Sets on the Recognition Rate of Offline Japanese Kanji Character Classifiers., and . Document Analysis Systems, volume 2423 of Lecture Notes in Computer Science, page 106-110. Springer, (2002)Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition., , and . Document Analysis Systems, volume 3872 of Lecture Notes in Computer Science, page 208-219. Springer, (2006)Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database., , and . Multiple Classifier Systems, volume 2709 of Lecture Notes in Computer Science, page 196-205. Springer, (2003)