The fast correntropy mace filter

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

Volumn 2, Issue , 2007, Pages 613-616

  Jeong, Kyu Hwa ^a   Han, Seungju ^a   Principe, Jose C ^a  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

Author keywords

Correntropy MACE; Fast Gauss Transform (FGT); Synthetic Aperture Radar (SAR) image recognition

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; CONTROL NONLINEARITIES; DIGITAL FILTERS; IMAGE RECOGNITION; LINEAR SYSTEMS; SYNTHETIC APERTURE RADAR;

CORRENTROPY MACE; FAST GAUSS TRANSFORM (FGT);

IMAGING SYSTEMS;

EID: 34547522095     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366310     Document Type: Conference Paper

References (11)

1. B.V.K. Vijaya Kumar, "Tutorial survey of composite filter designs for optical correlators," vol. 31, pp. 4773-4801, 1992.
2. B.V.K. Vijaya Kumar, M. Savvides, C. Xie, and K. Venkataramani, "Biometric verification with correlation filters," Applied Optics, vol. 43, no. 2, pp. 391-402, Jan 2004.
3. A. Mahalanobis, B.V.K. Vijaya Kumar, and D. Casasent, "Minimum average correlation energy filters," Appl. Opt, vol. 26, no. 17, pp. 3633-3640, 1987.
4. B.V.K. Vijaya Kumar, "Recent advances in distortion-invariant correlation filter design," in Proc. SPIE, 1995, vol. 2490, pp. 2-13.
5. K.H. Jeong, P.P. Pokharel, J. Xu, S. Han, and J.C. Principe, "The correntropy mace filter for image recognition," in Proc. IEEE Int. Workshop on Machine Learning for signal Processing (MLSP), France, July 2006, pp. 9-14.
6. I. Santamaría, P.P. Pokharel, and J.C. Principe, "Generalized correlation function: Definition, properties and application to blind equalization," IEEE Trans. Signal Processing, vol. 54, no. 6, pp. 2187-2197, June 2006.
7. L. Greengard and J. Strain, "The fast gauss transform," SIAM J. Sei. Statist. Comput., vol. 12, no. 1, pp. 79-94, Jan. 1991.
8. "Moving and stationary target acquisition and recognition (MSTAR/IU) public mixed target dataset,".
9. P.P. Pokharel, J.W Xu, D. Erdogmus, and J.C Principe, "A closed form, solution for a nonlinear wiener filter," in Proc. Int. Conf. Acoustics, Speech, Signal Processing (ICASSP), France, May 2006, vol. 3, pp. 720-723.
10. T. Gonzalez, "Clustering to minimize the maximum intercluster distance," Theoretical Computer Science, vol. 38, pp. 293-306, 1985.
11. T. Ross, S. Worrell, V. Veiten, J. Mossing, and M. Bryant, "Standard SAR ATR evaluation experiments using the mstar public release data set," in Proc. SPIE, April 1998, vol. 3370, pp. 566-573.