Adaptive robust kernel PCA algorithm

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 6, Issue , 2003, Pages 621-624

  Lu, Congde ^a   Zhang, Taiyi ^a   Zhang, Ruonan ^a   Zhang, Chunmei ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ITERATIVE METHODS; PRINCIPAL COMPONENT ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS);

ERROR CRITERIA;

ADAPTIVE FILTERING;

EID: 0141630482     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. S. Wang, Y.L. Liang etc. "Robust PCA Based on Neural Networks", Proceedings of the 36th IEEE Conference on Decision and Control, Vol. 1, pp.503-508, 1997.
2. L. Xu and Alan L. Yuille, "Robust principal component by Self-organizing Rules Based on Statistical Physics Approach", IEEE Trans. Neural Networks, Vol. 6, No. 1. pp.131-143, 1995.
3. J. Karhunen, J. Joutsensalo, "Generalizations of principal component analysis, optimization problems, and neural networks", Neural Networks, Vol. 8, No. 4, pp.549-562, 1995.
4. B. Scholkopf, A. Smola and K. R. Muller, "Nonlinear Component Analysis as a Kernel Eigenvalue Problem", Neural Computing., Vol. 10, No. 5, pp.1299-1319, 1998.
5. M. Girolami. "Mercer Kernel Based Clustering in Feature Space", IEEE Trans. Neural Networks, Vol. 13, No. 5, pp. 780-784, 2002.
6. V. N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, 1995.