Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression

被引：0
|
作者：
Roman Rosipal
Mark Girolami
Leonard J. Trejo
Andrzej Cichocki
机构：
[1] Computational Sciences Division,
[2] NASA Ames Research Center,undefined
[3] Moffett Field,undefined
[4] CA,undefined
[5] USA,undefined
[6] Applied Computational Intelligence Research Unit,undefined
[7] School of Information and Communication Technologies,undefined
[8] University of Paisley,undefined
[9] Paisley,undefined
[10] Scotland,undefined
[11] Laboratory for Advanced Brain Signal Processing,undefined
[12] Brain Science Institute RIKEN,undefined
[13] Hirosawa,undefined
[14] Wako-Shi,undefined
[15] Japan,undefined
[16] University of Technology,undefined
[17] Warsaw,undefined
[18] Poland,undefined
来源：
Neural Computing & Applications | 2001年 / 10卷
关键词：
Keywords: De-noising; Feature extraction; Human performance monitoring; Kernel functions; Nonlinear regression; Principal components;
D O I：
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中图分类号：
学科分类号：
摘要：
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收藏
页码：231 / 243
页数：12
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