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Pack instruction generation for media pUsing multi-valued decision diagram.

, , , , , , и . CODES+ISSS, стр. 154-159. ACM, (2006)

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Koshiro Nakagawa

Masaki Nakajima

Julia Nakagawa

Kumiko Nakagawa

Yôichi Nakagawa

 

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Collection of on-line handwritten Japanese character pattern databases and their analyses., и . Int. J. Document Anal. Recognit., 7 (1): 69-81 (2004)Application of a Visual Computer Simulator into Collaborative Learning., , и . J. Comput. Inf. Technol., 14 (4): 267-273 (2006)Attention Augmented Convolutional Recurrent Network for Handwritten Japanese Text Recognition., , и . ICFHR, стр. 163-168. IEEE, (2020)A Siamese Network-based Approach For Matching Various Sizes Of Excavated Wooden Fragments., , и . ICFHR, стр. 307-312. IEEE, (2020)A virtual optical disk method to realize rewritability and revision control on a write-once optical disk., , , и . Syst. Comput. Jpn., 21 (8): 34-44 (1990)An online overlaid handwritten Japanese text recognition system for small tablet., , , и . Pattern Anal. Appl., 22 (1): 233-241 (2019)Speedup of Parsing for Recognition of Online Handwritten Mathematical Expressions., и . ICDAR, стр. 896-901. IEEE, (2017)GSSF: A Generative Sequence Similarity Function Based on a Seq2Seq Model for Clustering Online Handwritten Mathematical Answers., , , и . ICDAR (2), том 12822 из Lecture Notes in Computer Science, стр. 145-159. Springer, (2021)Global Context for Improving Recognition of Online Handwritten Mathematical Expressions., , , и . ICDAR (2), том 12822 из Lecture Notes in Computer Science, стр. 617-631. Springer, (2021)Incremental Teacher Model with Mixed Augmentations and Scheduled Pseudo-label Loss for Handwritten Text Recognition., , , , , , и . ICDAR (4), том 14190 из Lecture Notes in Computer Science, стр. 287-301. Springer, (2023)