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Roman Rosipal, Mark Girolami, Leonard J. Trejo and Andrzej Cichocki
Book Chapter
Developments and Applications of Nonlinear Principal Component Analysis – a Review
Uwe Kruger, Junping Zhang and Lei Xie
Lecture Notes in Computational Science and Engineering, 1, Volume 58, Principal Manifolds for Data Visualization and Dimension Reduction, Pages 1-43
Journal Article
Sensor fault detection, isolation and reconstruction using nonlinear principal component analysis
Mohamed-Faouzi Harkat, Salah Djelel, Noureddine Doghmane and Mohamed Benouaret
International Journal of Automation and Computing, 2007, Volume 4, Number 2, Pages 149-155
Application of nonlinear PCA for fault detection in polymer extrusion processes
Xueqin Liu, Kang Li, Marion McAfee and Jing Deng
Neural Computing & Applications, Online First™, 29 March 2011
A Framework for Context-Aware Trajectory
Vania Bogorny and Monica Wachowicz
2009, Data Mining for Business Applications, II, Pages 225-239
Exercises in PET Image Reconstruction
Oliver Nix
NATO Science for Peace and Security Series B: Physics and Biophysics, 2008, Molecular Imaging: Computer Reconstruction and Practice, Pages 131-144
On-Line Nonlinear Process Monitoring Using Kernel Principal Component Analysis and Neural Network
Zhong-Gai Zhao and Fei Liu
Lecture Notes in Computer Science, 2006, Volume 3973, Advances in Neural Networks - ISNN 2006, Pages 945-950
Prediction of Protein Secondary Structure Using Nonlinear Method
Silvia Botelho, Gisele Simas and Patricia Silveira
Lecture Notes in Computer Science, 2006, Volume 4234, Neural Information Processing, Pages 40-47
Thirty Years of Reforms to Budget Rules in Italy: An Econometric Evaluation
Fabio Padovano
2008, Italian Institutional Reforms: A Public Choice Perspective, Pages 139-154
Nonlinear Principal Component Analysis
William W. Hsieh
2009, Artificial Intelligence Methods in the Environmental Sciences, II, Pages 173-190
VISRED –Numerical Data Mining with Linear and Nonlinear Techniques
Antonio Dourado, Edgar Ferreira and Paulo Barbeiro
Lecture Notes in Computer Science, 2007, Volume 4597, Advances in Data Mining. Theoretical Aspects and Applications, Pages 92-106
Keywords: De-noising; Feature extraction; Human performance monitoring; Kernel functions; Nonlinear regression; Principal components
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