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International Journal of Computer Mathematics Volume 87, 2010 - Issue 5
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Section A

Generalized KPCA by adaptive rules in feature space

Yanwei Pang School of Electronic Information Engineering, Tianjin University , Tianjin, China
,
Lei Wang Department of Electronic Engineering and Information Science, University of Science and Technology of China , Hefei, China
&
Yuan Yuan School of Engineering and Applied Science, Aston University , Birmingham, UK
Pages 956-968 | Received 21 Sep 2007, Accepted 25 Feb 2008, Published online: 10 May 2010

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Zhao-Yan Li & Yong Wang. (2012) Weighted steepest descent method for solving matrix equations. International Journal of Computer Mathematics 89:8, pages 1017-1038.
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Articles from other publishers (20)

Zohreh Ansari, Farshad Almasganj & Seyed Jahanshah Kabudian. (2021) Rapid Speaker Adaptation Based on Combination of KPCA and Latent Variable Model. Circuits, Systems, and Signal Processing 40:8, pages 3996-4017.
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Duo Wang & Toshihisa Tanaka. (2020) A Robust Method for Kernel Principal Component Analysis. A Robust Method for Kernel Principal Component Analysis.
Duo Wang & Toshihisa Tanaka. (2020) Robust Kernel Principal Component Analysis With ℓ 2,1 -Regularized Loss Minimization . IEEE Access 8, pages 81864-81875.
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Tingting Yu, Shuai Yang, Yun Bai, Xu Gao & Chuan Li. (2018) Inlet Water Quality Forecasting of Wastewater Treatment Based on Kernel Principal Component Analysis and an Extreme Learning Machine. Water 10:7, pages 873.
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David Zhang, Guangming Lu & Lei ZhangDavid Zhang, Guangming Lu & Lei Zhang. 2018. Advanced Biometrics. Advanced Biometrics 309 328 .
Nojun Kwak. (2017) Implementing Kernel Methods Incrementally by Incremental Nonlinear Projection Trick. IEEE Transactions on Cybernetics 47:11, pages 4003-4009.
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Yahui Liu, Bob Zhang, Guangming Lu & David Zhang. (2016) Online 3D Ear Recognition by Combining Global and Local Features. PLOS ONE 11:12, pages e0166204.
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Xifa Duan, Peiyan Qi & Zheng Tian. (2016) Registration for Variform Object of Remote-Sensing Image Using Improved Robust Weighted Kernel Principal Component Analysis. Journal of the Indian Society of Remote Sensing 44:5, pages 675-686.
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Zhe Li, Uwe Kruger, Lei Xie, Ali Almansoori & Hongye Su. (2015) Adaptive KPCA Modeling of Nonlinear Systems. IEEE Transactions on Signal Processing 63:9, pages 2364-2376.
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Yahui Liu, Bob Zhang & David Zhang. (2015) Ear-parotic face angle: A unique feature for 3D ear recognition. Pattern Recognition Letters 53, pages 9-15.
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Shojaeddin Chenouri, Jiaxi Liang & Christopher G. Small. (2015) Robust dimension reduction. Wiley Interdisciplinary Reviews: Computational Statistics 7:1, pages 63-69.
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Zhaoyang Zhang, Zheng Tian, Xifa Duan & Xiangyun Fu. (2013) Adaptive kernel subspace method for speeding up feature extraction. Neurocomputing 113, pages 58-66.
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Xifa Duan, Zheng Tian, Mingtao Ding & Wei Zhao. (2013) Registration of remote-sensing images using robust weighted kernel principal component analysis. AEU - International Journal of Electronics and Communications 67:1, pages 20-28.
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David Zhang & Guangming LuDavid Zhang & Guangming Lu. 2013. 3D Biometrics. 3D Biometrics 51 68 .
Xiaofeng Zhu, Zi Huang, Heng Tao Shen, Jian Cheng & Changsheng Xu. (2012) Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis. Pattern Recognition 45:8, pages 3003-3016.
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Hsin-Hsiung Huang & Yi-Ren Yeh. (2011) An iterative algorithm for robust kernel principal component analysis. Neurocomputing 74:18, pages 3921-3930.
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Xifa Duan, Zheng Tian, Peiyan Qi, Xiangzeng Liu, Xifa Duan & Peiyan Qi. (2011) A Robust Weighted Kernel Principal Component Analysis Algorithm. A Robust Weighted Kernel Principal Component Analysis Algorithm.
Lin He & Jing Pan. (2011) Face Recognition Using Nonlinear Regression. Face Recognition Using Nonlinear Regression.
Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan & Boonserm Kijsirikul. (2010) A new kernelization framework for Mahalanobis distance learning algorithms. Neurocomputing 73:10-12, pages 1570-1579.
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Dong Huang, Zhang Yi & Xiaorong Pu. (2009) A New Incremental PCA Algorithm With Application to Visual Learning and Recognition. Neural Processing Letters 30:3, pages 171-185.
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