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Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields.

, , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (10): 2413-2426 (2013)

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A Robust Model for On-line Handwritten Japanese Text Recognition., , , and . DRR, volume 7247 of SPIE Proceedings, page 72470B. SPIE, (2009)Landmark perturbation-based data augmentation for unconstrained face recognition., , , , and . Signal Process. Image Commun., (2016)Temporal Pyramid Transformer with Multimodal Interaction for Video Question Answering., , , , and . CoRR, (2021)Spatio-Temporal Attention Graph for Monocular 3d Human Pose Estimation., , , , and . ICIP, page 1231-1235. IEEE, (2022)Online Handwritten Japanese Character String Recognition Incorporating Geometric Context., , , , and . ICDAR, page 48-52. IEEE Computer Society, (2007)Effect of Improved Path Evaluation for On-line Handwritten Japanese Text Recognition., , , and . ICDAR, page 516-520. IEEE Computer Society, (2009)Bootstrapping Joint Bayesian model for robust face verification., , , , and . ICB, page 1-6. IEEE, (2016)An approach for real-time recognition of online Chinese handwritten sentences., , and . Pattern Recognit., 45 (10): 3661-3675 (2012)Keyword spotting in handwritten chinese documents using semi-markov conditional random fields., , and . Eng. Appl. Artif. Intell., (2017)Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining., , , , , , and . CoRR, (2020)