Independent component analysis minimizing the mutual information criteria in polar coordinates

IMCIC 2010 - International Multi-Conference on Complexity, Informatics and Cybernetics, Proceedings

Volumn 1, Issue , 2010, Pages 173-178

  Hoh, Carl ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Dynamic images; Independent component analysis; Mutual information; Optimization; Polar coordinates

Indexed keywords

CYBERNETICS; GLOBAL OPTIMIZATION; OPTIMIZATION;

DYNAMIC IMAGES; INDEPENDENT COMPONENT ANALYSIS(ICA); INITIAL CONDITIONS; MUTUAL INFORMATIONS; OPTIMIZATION PARAMETER; PIXEL INTENSITIES; POLAR COORDINATE; SIGNAL COMPONENTS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84858292483     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. J. Herault, C. Jutten, "Space or time adaptive signal processing by neural network models ", Neural Networks for Computing: AIP Conference Proceedings 151, 1986, J. S. Denker, ed. American Institute for Physics, New York.
2. P. Comon, "Independent Component Analysis - a new concept"? Signal Processing, Vol. 36, 1994, pp. 287- 314.
3. A.J. Bell, T.J. Segnoski, "An Information-Maximization Approach to Blind Separation and Blind Deconvolution", Neural Computation, Vol. 7, 1995, pp. 1129-1159.
4. J.-F. Cardoso, "Infomax and maximum likelihood for source separation". IEEE Letters on Signal Processing, Vol. 4, 1997, pp. 112-114.
5. J. Cardoso, "On the stability of source separation algorithms". Journal of VLSI signal processing systems, 2000, pp.7-14.
6. S. Amari, "Natural gradient works efficiently in learning". Neural Computation, Vol. 10, 1998, pp.251-276.
7. J.V. Stone, Independent Component Analysis, A Tutorial Introduction, Cambridge: The MIT Press. 2004.
8. R. Di Paola, J.P. Bazin, F. Aubry, et al. "Handling of dynamic sequences in nuclear medicine". IEEE Trans Nucl Sci. NS29, 1982, pp. 1310-1321.
9. A Hyvarinen, E. Oja, "Independent Component Analysis by Minimization of the Mutual Information", Independent Component Analysis, Ed. Simon Haykin, John Wiley & Sons, Pub. 2001.
10. L.B. Almeid, "MISEP - Linear and Nonlinear ICA Based on Mutual Information", Journal of Machine Learning Research, Vol. 4, 2003, pp. 1297-1318.
11. H. Stögbauer, A. Kraskov, S.A. Astakhov, P. Grassberger, "Least-dependent-component analysis based on mutual information", Physical Review E, Vol. 70, 2004, 066123
12. T.M. Cover, J.A. Thomas, Elements of information theory, John Wiley& Sons, New York, NY, Pub., 1991.
13. F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, P. Suetens, Multimodality Image Registration by Maximization of Mutual Information, IEEE Trans on Med Imaging, Vol. 16, No. 2, 1997, pp. 187-198.
14. M. Naganawa, Y. Kimura, K. Ishii, K. Oda, K. Ishiwata, A Matani, "Extraction of a Plasma Time- Activity Curve From Dynamic Brain PET Images Based on Independent Component Analysis". IEEE Trans on Biomed Engineering, Vol. 52, No. 2, 2005, pp. 201-210.
15. G.H. Golub, C.F. van Loan, Matrix Computations, 3nd ed., The Hopkins Univ Press, 1996.
16. J.A. Nelder, R. Mead. A simplex method for function minimization. Computer Journal, Vol. 7, 1965, pp 308- 313.
17. C.K. Hoh, M. Dahlbom, S.S. Gambhir, J. Yang, M.E. Phelps. State space modeler (SSM), a general software package for dynamic systems modeling. J Nucl Med, vol 37, 1996, 303P