An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection

机译：用于在线特征选择的有效增量核主成分分析

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper, a feature extraction method for online classification problems is proposed by extending kernel principal component analysis (KPCA). In our previous work, we proposed an incremental KPCA algorithm which could learn a new input incrementally

机译：通过扩展核主成分分析（KPCA），提出了一种在线分类问题的特征提取方法。在我们之前的工作中，我们提出了一种增量式KPCA算法，该算法可以逐步学习新的输入

著录项

来源
《Neural Networks, The 2007 IEEE International Joint Conference on》|2007年|P.2346-2351|共6页
会议地点
作者
Takeuchi; Y.; Ozawa; S.; Abe; S.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类工业技术;
关键词
eigenvalues and eigenfunctions; feature extraction; pattern classification; principal component analysis; eigenvectors; high-dimensional feature space; incremental KPCA; incremental kernel principal component analysis; linearly independent data; low-dimensional e;

机译：特征值和特征函数;特征提取;模式分类;主成分分析;特征向量;高维特征空间;增量KPCA;增量核主成分分析;线性独立数据;低维e;

相似文献

外文文献
中文文献
专利

1. Perturbation scheme for online learning of features: Incremental principal component analysis [J] . Agrawal RK, Karmeshu Pattern Recognition: The Journal of the Pattern Recognition Society . 2008,第5期

机译：在线学习特征的摄动方案：增量主成分分析
2. IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier [J] . Rong Zhu, Yong Wang, Jin-Xing Liu, BMC Bioinformatics . 2021,第1期

机译：IPCarf：使用增量主成分分析特征选择和随机林分类器改善LNCRNA疾病关联预测
3. The fault feature extraction and classification of gear using principal component analysis and kernel principal component analysis based on the wavelet packet transform [J] . Renping Shao, Wentao Hu, Yayun Wang, Measurement . 2014,第Null期

机译：基于小波包变换的主成分分析和核主成分分析的齿轮故障特征提取与分类
4. An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection [C] . Takeuchi, Y., Ozawa, Neural Networks, The 2007 IEEE International Joint Conference on . 2007

机译：用于在线特征选择的有效增量核主成分分析
5. Efficient Clustering via Kernel Principal Component Analysis and Optimal One-Dimensional Thresholding [D] . Bhide, Nachiket. 2021

机译：通过内核主体成分分析和最佳一维阈值的高效群集
6. IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier [O] . Rong Zhu, Yong Wang, Jin-Xing Liu, 2021

机译：IPCarf：使用增量主成分分析特征选择和随机林分类器改善LNCRNA疾病关联预测
7. IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier [O] . Rong Zhu, Yong Wang, Jin-Xing Liu, 2021

机译：IPCarf：使用增量主成分分析特征选择和随机林分类器改善LNCRNA疾病关联预测

An Efficient Incremental Kernel Principal Component Analysis for Online Feature Selection

摘要

著录项

相似文献

相关主题

期刊订阅