Hybrid reinforcement learning with expert state sequences
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
Segmentation of cursive words into letters has been one of the major problems in handwriting recognition. We introduce a new segmentation algorithm, guided in part by the global characteristics of the handwriting. We find the successive segmentation points by evaluating a cost function at each point along the baseline. The cost of segmenting at a point is a weighted sum of four feature values at that point. The weights of the features are determined using linear programming. In our tests with 750 words written by 10 writers, 97% of the letter boundaries were correctly located. © 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019
Jihun Yun, Peng Zheng, et al.
ICML 2019
Michael Hersche, Mustafa Zeqiri, et al.
NeSy 2023
Arnold L. Rosenberg
Journal of the ACM