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

Neural Computing and Applications ◽

10.1007/s521-001-8051-z ◽

2001 ◽

Vol 10 (3) ◽

pp. 231-243 ◽

Author(s):

Roman Rosipal ◽

Mark Girolami ◽

Leonard J. Trejo ◽

Andrzej Cichocki

Keyword(s):

Feature Extraction ◽

Nonlinear Regression ◽

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Robust Feature Extraction using Kernel PCA

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings ◽

10.1109/icassp.2006.1660069 ◽

2006 ◽

Author(s):

T. Takiguchi ◽

Y. Ariki

Keyword(s):

Feature Extraction ◽

Robust Feature Extraction

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Kernel PCA for road traffic data non-linear feature extraction

IET Intelligent Transport Systems ◽

10.1049/iet-its.2018.5215 ◽

2019 ◽

Vol 13 (8) ◽

pp. 1291-1298 ◽

Author(s):

Wang Yong-dong ◽

Xu Dong-wei ◽

Peng Peng ◽

Liu Yi ◽

Zhang Gui-jun ◽

...

Keyword(s):

Feature Extraction ◽

Road Traffic ◽

Traffic Data ◽

Linear Feature ◽

Linear Feature Extraction ◽

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Principle component analysis-based optimized feature extraction merged with nonlinear regression model for improved state-of-health prediction

Journal of Energy Storage ◽

10.1016/j.est.2022.104026 ◽

2022 ◽

Vol 48 ◽

pp. 104026

Author(s):

Pyeong-Yeon Lee ◽

Sanguk Kwon ◽

Deokhun Kang ◽

Inho Cho ◽

Jonghoon Kim

Keyword(s):

Feature Extraction ◽

Regression Model ◽

Nonlinear Regression ◽

Principle Component Analysis ◽

Component Analysis ◽

Nonlinear Regression Model ◽

State Of Health ◽

Principle Component

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Feature extraction for palmprint recognition using kernel-PCA with modification in Gabor parameters

2016 1st International Conference on Biomedical Engineering (IBIOMED) ◽

10.1109/ibiomed.2016.7869820 ◽

2016 ◽

Author(s):

Muhammad Kusban ◽

Adhi Susanto ◽

Oyas Wahyunggoro

Keyword(s):

Feature Extraction ◽

Palmprint Recognition ◽

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A fast iterative kernel PCA feature extraction for hyperspectral images

2010 IEEE International Conference on Image Processing ◽

10.1109/icip.2010.5651670 ◽

2010 ◽

Author(s):

Wenzhi Liao ◽

Aleksandra Pizurica ◽

Wilfried Philips ◽

Youguo Pi

Keyword(s):

Feature Extraction ◽

Hyperspectral Images ◽

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Kernel PCA Feature Extraction of Event-Related Potentials for Human Signal Detection Performance

Artificial Neural Networks in Medicine and Biology - Perspectives in Neural Computing ◽

10.1007/978-1-4471-0513-8_49 ◽

2000 ◽

pp. 321-326 ◽

Author(s):

Roman Rosipal ◽

Mark Girolami ◽

Leonard J. Trejo

Keyword(s):

Feature Extraction ◽

Signal Detection ◽

Event Related Potentials ◽

Detection Performance ◽

Related Potentials ◽

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Greedy kernel PCA for training data reduction and nonlinear feature extraction in classification

10.1117/12.832806 ◽

2009 ◽

Author(s):

Xiaofang Liu ◽

Chun Yang

Keyword(s):

Feature Extraction ◽

Data Reduction ◽

Training Data ◽

Nonlinear Feature Extraction ◽

Nonlinear Feature

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Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals

2012 19th International Conference on Telecommunications (ICT) ◽

10.1109/ictel.2012.6221261 ◽

2012 ◽

Author(s):

Maya Kallas ◽

Clovis Francis ◽

Lara Kanaan ◽

Dalia Merheb ◽

Paul Honeine ◽

...

Keyword(s):

Feature Extraction ◽

Svm Classification ◽

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A critical feature extraction by kernel PCA in stock trading model

Soft Computing ◽

10.1007/s00500-014-1350-5 ◽

2014 ◽

Vol 19 (5) ◽

pp. 1393-1408 ◽

Author(s):

Pei-Chann Chang ◽

Jheng-Long Wu

Keyword(s):

Feature Extraction ◽

Stock Trading ◽

Critical Feature ◽

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A Novel Model for Independent RBF Neural Networks Employing Gabor-based Kernel PCA with Fractional Power Polynomial Models for Feature Extraction

2006 International Conference on Computational Intelligence and Security ◽

10.1109/iccias.2006.294223 ◽

2006 ◽

Author(s):

Gaoyun An ◽

Qiuqi Ruan ◽

Jiying Wu

Keyword(s):

Neural Networks ◽

Feature Extraction ◽

Fractional Power ◽

Rbf Neural Networks ◽

Polynomial Models ◽

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