Structural nonparallel support vector machine for pattern recognition
文献类型：期刊论文
| 作者 | Chen, Dandan1,2; Tian, Yingjie2,3; Liu, Xiaohui4 |
| 刊名 | Pattern recognition
 |
| 出版日期 | 2016-12-01 |
| 卷号 | 60页码:296-305 |
| 关键词 | Structural information Nonparallel support vector machine Alternating direction method of multipliers Pattern recognition |
| ISSN号 | 0031-3203 |
| DOI | 10.1016/j.patcog.2016.04.017 |
| 通讯作者 | Chen, dandan(chendandan1@126.com) |
| 英文摘要 | It has been widely accepted that the underlying structural information in the training data within classes is significant for a good classifier in real-world problems. however, existing structural classifiers do not balance structural information's relationships both intra-class and inter-class. combining the structural information with nonparallel support vector machine (npsvm), we design a new structural nonparallel support vector machine (called snpsvm). each model of snpsvm considers not only the compactness in both classes by the structural information but also the separability between classes, thus it can fully exploit prior knowledge to directly improve the algorithm's generalization capacity. furthermore, we apply the improved alternating direction method of multipliers (admm) to snpsvm. both our model itself and the solving algorithm can guarantee that it can deal with large-scale classification problems with a huge number of instances as well as features. experimental results show that snpsvm is superior to the other current algorithms based on structural information of data in both computation time and classification accuracy. (c) 2016 elsevier ltd. all rights reserved. |
| WOS关键词 | CLASSIFICATION |
| WOS研究方向 | Computer Science ; Engineering |
| WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 语种 | 英语 |
| WOS记录号 | WOS:000383525600025 |
| 出版者 | ELSEVIER SCI LTD |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2376087 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Chen, Dandan |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Math Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Res Ctr Fictit Econ & Data Sci, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R China 4.Brunel Univ London, Dept Comp Sci, Uxbridge UB8 3PH, Middx, England |
| 推荐引用方式 GB/T 7714 | Chen, Dandan,Tian, Yingjie,Liu, Xiaohui. Structural nonparallel support vector machine for pattern recognition[J]. Pattern recognition,2016,60:296-305. |
| APA | Chen, Dandan,Tian, Yingjie,&Liu, Xiaohui.(2016).Structural nonparallel support vector machine for pattern recognition.Pattern recognition,60,296-305. |
| MLA | Chen, Dandan,et al."Structural nonparallel support vector machine for pattern recognition".Pattern recognition 60(2016):296-305. |
入库方式： iSwitch采集
来源：中国科学院大学
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