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题名: Joint Training of Conditional Random Fields and Neural Networks for Stroke Classification in Online Handwritten Documents
作者: Ye, Jun-Yu1; Zhang Yanming(张燕明)1; Liu Chenglin(刘成林)1
出版日期: 2016
会议名称: International Conference on Pattern Recognition
会议日期: Dec. 04-08, 2016
会议地点: Cancun, Mexico
关键词: CRF
通讯作者: Zhang, Yan-Ming
英文摘要:
The task of text/non-text stroke classification in online handwritten documents is an essential preprocessing step in document analysis. It is also a challenging problem since in many cases local features are not enough to generate high accuracy results and contextual information, such as temporal information and spatial information, must be carefully considered. In this paper, we propose a novel method, which jointly trains a combined model of conditional random fields and neural networks, to solve this problem. Both our unary and pairwise potentials are formulated as neural networks. The parameters of conditional random fields and neural networks are learned together during the training process. With much fewer parameters and faster speed, our method achieves impressive performance on the IAMonDo database, a publicly available database of freely handwritten documents.
会议录: 23rd International Conference on Pattern Recognition
内容类型: 会议论文
URI标识: http://ir.ia.ac.cn/handle/173211/12263
Appears in Collections:模式识别国家重点实验室_模式分析与学习团队_会议论文

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作者单位: 1.中国科学院自动化研究所

Recommended Citation:
Ye, Jun-Yu,Zhang, Yan-Ming,Liu, Cheng-Lin. Joint Training of Conditional Random Fields and Neural Networks for Stroke Classification in Online Handwritten Documents[C]. 见:International Conference on Pattern Recognition. Cancun, Mexico. Dec. 04-08, 2016.
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