Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition
文献类型：期刊论文
| 作者 | Zhou, Xiang-Dong1; Zhang, Yan-Ming2 ; Tian, Feng3; Wang, Hong-An3; Liu, Cheng-Lin2
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2014-05-01 |
| 卷号 | 47期号:5页码:1904-1916 |
| 关键词 | Semi-Markov conditional random fields Minimum-risk training Character string recognition |
| 英文摘要 | Semi-Markov conditional random fields (semi-CRFs) are usually trained with maximum a posteriori (MAP) criterion which adopts the 0/1 cost for measuring the loss of misclassification. In this paper, based on our previous work on handwritten Chinese/Japanese text recognition (HCTR) using semi-CRFs, we propose an alternative parameter learning method by minimizing the risk on the training set, which has unequal misclassification costs depending on the hypothesis and the ground-truth. Based on this framework, three non-uniform cost functions are compared with the conventional 0/1 cost, and training data selection is incorporated to reduce the computational complexity. In experiments of online handwriting recognition on databases CASIA-OLHWDB and THAT Kondate, we compared the performances of the proposed method with several widely used learning criteria, including conditional log-likelihood (CLL), softmax-margin (SMM), minimum classification error (MCE), large-margin MCE (LM-MCE) and max-margin (MM). On the test set (online handwritten texts) of ICDAR 2011 Chinese handwriting recognition competition, the proposed method outperforms the best system in competition. (C) 2013 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | CHINESE CHARACTER-RECOGNITION ; ERROR ; MINIMIZATION ; MODELS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000331667400011 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3085]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_模式分析与学习团队 |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Intelligent Media Tech Res Ctr, Chongqing 400714, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Beijing Key Lab Human Comp Interact, Inst Software, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Xiang-Dong,Zhang, Yan-Ming,Tian, Feng,et al. Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition[J]. PATTERN RECOGNITION,2014,47(5):1904-1916. |
| APA | Zhou, Xiang-Dong,Zhang, Yan-Ming,Tian, Feng,Wang, Hong-An,&Liu, Cheng-Lin.(2014).Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition.PATTERN RECOGNITION,47(5),1904-1916. |
| MLA | Zhou, Xiang-Dong,et al."Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition".PATTERN RECOGNITION 47.5(2014):1904-1916. |
入库方式： OAI收割
来源：自动化研究所
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