On-line adaptive principal component extraction algorithms using iteration approach
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Jian Sun | Yi Chai | H. F. Li | Maoyun Guo | Jian Sun | Y. Chai | Maoyun Guo | H. F. Li
[1] Yuhong Zhao,et al. Fault diagnosis method based on moving window PCA , 2009, 2009 Chinese Control and Decision Conference.
[2] Toshihisa Tanaka,et al. Generalized weighted rules for principal components tracking , 2005, IEEE Transactions on Signal Processing.
[3] A. H. Ali. Neural network principal component using adaptive principal component extractor (APEX) , 2003, The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003..
[4] Leu-Shing Lan,et al. Accelerating Local Convergence of the Information Theory-Based Algorithm for Principal Component Analysis , 2007, 2007 International Joint Conference on Neural Networks.
[5] Xianda Zhang,et al. Adaptive nonlinear PCA algorithms for blind source separation without prewhitening , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.
[6] L. State,et al. A new adaptive PCA scheme for noise removal in image processing , 2008, 2008 50th International Symposium ELMAR.
[7] H. Chen,et al. An alternative proof of convergence for Kung-Diamantaras APEX algorithm , 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.
[8] Zheng Bao,et al. Cross-correlation neural network models for the smallest singular component of general matrix , 1998, Signal Process..
[9] Matthew Brand,et al. Incremental Singular Value Decomposition of Uncertain Data with Missing Values , 2002, ECCV.
[10] Roger L. King,et al. An Efficient Pan-Sharpening Method via a Combined Adaptive PCA Approach and Contourlets , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[11] David Zhang,et al. PCA-Based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras , 2009, IEEE Transactions on Image Processing.
[12] Vwani P. Roychowdhury,et al. Algorithms for accelerated convergence of adaptive PCA , 2000, IEEE Trans. Neural Networks Learn. Syst..
[13] Weihua Li,et al. Recursive PCA for adaptive process monitoring , 1999 .
[14] S.Y. Kung,et al. Adaptive Principal component EXtraction (APEX) and applications , 1994, IEEE Trans. Signal Process..
[15] Udo Weimar,et al. On-line novelty detection by recursive dynamic principal component analysis and gas sensor arrays under drift conditions , 2006 .
[16] Zhiqiang Ge,et al. Semiconductor Manufacturing Process Monitoring Based on Adaptive Substatistical PCA , 2010, IEEE Transactions on Semiconductor Manufacturing.
[17] Yousef Saad,et al. Lanczos Vectors versus Singular Vectors for Effective Dimension Reduction , 2009, IEEE Transactions on Knowledge and Data Engineering.
[18] Sun-Yuan Kung,et al. A neural network learning algorithm for adaptive principal component extraction (APEX) , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[19] Haixia Xu,et al. Adaptive kernel principal component analysis , 2010, Signal Process..