Studies of spectra classification based on kernel covering algorithm
文献类型：期刊论文
| 作者 | Yang Jin-fu; Xu Xin; Wu Fu-chao; Zhao Yong-heng
|
| 刊名 | SPECTROSCOPY AND SPECTRAL ANALYSIS
 |
| 出版日期 | 2007-03-01 |
| 卷号 | 27期号:3页码:602-605 |
| 关键词 | spectra classification kernel covering algorithm SVM kernel technique |
| 英文摘要 | A kernel based covering algorithm, called the kernel covering algorithm (KCA), is proposed for the classification of celestial spectra. This algorithm is a combination of kernel trick with the covering algorithm, and is used to extract the support vectors in feature space. The experiments show that the classification result based on KCA is a little less than that based on SVX However, KCA only involves the distance computation without the need to solve the quadratic programming problem. Also, KCA is insensitive to the width of gauss window. Although KCA has a comparable classification performance with the covering algorithm, it changes the distance between samples in feature space by the nonlinear mapping such that the distribution of samples is more adaptable to classify. Therefore, the number of KCA's resulting support vectors is significantly smaller than that of the covering algorithm |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000245492100047 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/7224]  |
| 专题 | 国家天文台_光学天文研究部 |
| 作者单位 | 1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang Jin-fu,Xu Xin,Wu Fu-chao,et al. Studies of spectra classification based on kernel covering algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2007,27(3):602-605. |
| APA | Yang Jin-fu,Xu Xin,Wu Fu-chao,&Zhao Yong-heng.(2007).Studies of spectra classification based on kernel covering algorithm.SPECTROSCOPY AND SPECTRAL ANALYSIS,27(3),602-605. |
| MLA | Yang Jin-fu,et al."Studies of spectra classification based on kernel covering algorithm".SPECTROSCOPY AND SPECTRAL ANALYSIS 27.3(2007):602-605. |
入库方式： OAI收割
来源：国家天文台
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