Correntropy: A localized similarity measure

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2006, Pages 4919-4924

  Weifeng, Liu ^b   Pokharel, P P ^b   Principe, J C ^a,b  

^a IEEE

^b University of Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; MEAN SQUARE ERROR; SIGNAL PROCESSING;

CORRENTROPY; INFORMATION THEORETIC LEARNING (ITL); KERNEL METHODS;

LEARNING SYSTEMS;

EID: 40649084581     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Jose C. Principe, Dongxin Xu, Qun Zhao, John Fisher, "Learning from examples with information theoretic criteria," Journal of VLSI Signal Processing-Systems, Vol. 26, No. 1-2, pp. 61-77, Aug. 2000.
2. E. Parzen, "On the estimation of a probability density function and the mode", Ann. Math. Stat. 33, 1962, p1065.
3. D. Erdogmus, J. C. Principe, "An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems," IEEE Trans. on Signal Processing, vol. 50, pp. 1780-1786, July 2002.
4. J. C. Principe, D. Xu, J. Fisher, "Information theoretic learning," in Unsupervised Adaptive Filtering, Ed. S. Haykin, New York: John Wiley, 2000.
5. Deniz Erdogmus, Jose C. Principe, "Generalized Information Potential Criterion for Adaptive System Training," Trans. on Neural Networks, Vol. 13, No. 5, pp. 1035-1044, Sept. 2002.
6. I. Santamaria, P. P. Pokharel, J. C. Principe, "Generalized correlation function: definition, properties and application to blind equalization," IEEE Trans. Signal Processing, to be published.
7. P. P. Pokharel, J. Xu, D. Erdogmus, J. C. Principe, "A closed form solution for a nonlinear Wiener filter", ICASSP2006, to be published.
8. V. Vapnik, The Nature of Statistical Learning Theory. Springer Verlag, New York, 1995.
9. E. Parzen, Statistical Methods on Time Series by Hilbert Space Methods, Technical Report no. 23, Applied Mathematics and Statistics Laboratory, Stanford University, 1959.