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Dynamic Programming Matching with Global Features for Online Character Recognition.

, , and . ICFHR, page 348-353. IEEE Computer Society, (2012)

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Introducing Local Distance-Based Features to Temporal Convolutional Neural Networks., , , and . ICFHR, page 92-97. IEEE Computer Society, (2018)Measures for structural and global shape description in handwritten Kanji character recognition., , and . Document Recognition, volume 3305 of SPIE Proceedings, page 81-89. SPIE, (1998)Efficient cyclic Learning rate Schedules and their Evaluations for Neural Network Ensemble., and . MLSP, page 1-6. IEEE, (2018)Video text recognition using category-dependent feature extraction based on feature compensation., , and . Syst. Comput. Jpn., 36 (10): 1-8 (2005)Global feature for online character recognition., , and . Pattern Recognit. Lett., (2014)Unsupervised categorical shape reconstruction through manifolds., , and . WACV, page 1-8. IEEE Computer Society, (2016)How Important is Global Structure for Characters?, , and . Document Analysis Systems, page 255-260. IEEE Computer Society, (2012)Video Content Detection with Single Frame Level Accuracy Using Dynamic Thresholding Technique., , , and . ICPR, page 2560-2565. IEEE Computer Society, (2014)Improvement of Tensor Representation Label in Image Recognition: Evaluation on Selection, Complexity and Size., and . ICPRAM, page 232-239. SCITEPRESS, (2024)Front Cover Image Database of Japanese Manga and Typeface Estimation of Their Title., , and . IW-FCV, volume 1857 of Communications in Computer and Information Science, page 149-162. Springer, (2023)