Learning to Classify Galaxy Shapes Using the EM Algorithm

NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems

Volumn , Issue , 2002, Pages 1497-1504

  Kirshner, Sergey ^a   Cadez, Igor V ^b   Smyth, Padhraic ^a   Kamath, Chandrika ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Sparta Inc ^*  (United States)

^c LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS VALIDATION; EM ALGORITHMS; HIGHLY ACCURATE; LEARN+; MIXTURE MODELING; MODELING-BASED LEARNING; PIXEL INTENSITIES; PROBABILISTIC MODELS;

GALAXIES;

EID: 12244264633     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. R. H. Becker, R. L. White, and D. J. Helfand. The FIRST Survey: Faint Images of the Radio Sky at Twenty-cm. Astrophysical Journal, 450:559, 1995.
2. H. Chui, L. Win, R. Schultz, J. S. Duncan, and A. Rangarajan. A uni£ed feature registration method for brain mapping. In Proceedings of Information Processing in Medical Imaging, pages 300-314. Springer-Verlag, 2001.
3. I. K. Fodor, E. Cantú-Paz, C. Kamath, and N. A. Tang. Finding bent-double radio galaxies: A case study in data mining. In Proceedings of the Interface: Computer Science and Statistics Symposium, volume 33, 2000.
4. B. J. Frey and N. Jojic. Estimating mixture models of images and inferring spatial transformations using the EM algorithm. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999.
5. N. Jojic and B. J. Frey. Topographic transformation as a discrete latent variable. In Advances in Neural Information Processing Systems 12. MIT Press, 2000.
6. S. Kirshner, I. V. Cadez, P. Smyth, C. Kamath, and E. Cantú-Paz. Probabilistic model-based detection of bent-double radio galaxies. In Proceedings 16th International Conference on Pattern Recognition, volume 2, pages 499-502, 2002.
7. E. Mjolsness. Bayesian inference on visual grammars by neural networks that optimize. Technical Report YALEU/DCS/TR-854, Department of Computer Science, Yale University, May 1991.
8. R. L. White, R. H. Becker, D. J. Helfand, and M. D. Gregg. A catalog of 1.4 GHz radio sources from the FIRST Survey. Astrophysical Journal, 475:479, 1997.