Robust image classification based on a non-causal hidden Markov Gauss mixture model

IEEE International Conference on Image Processing

Volumn 3, Issue , 2002, Pages

  Pyun, Kyungsuk ^a   Won, Chee Sun ^b   Lim, Johan ^c   Gray, Robert M ^a  

^a Stanford University   (United States)

^b Dongguk University   (South Korea)

^c STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HEURISTIC METHODS; LEARNING ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM PRINCIPLE; PROBABILITY DISTRIBUTIONS; VECTOR QUANTIZATION;

GAUSS MIXTURE MODEL; GAUSS MIXTURE VECTOR QUANTIZATION; HIDDEN MARKOV MODEL; IMAGE CLASSIFICATION; ISING MODEL; LLOYD ALGORITHM; MAXIMUM A POSTERIORI; MINIMUM DISCRIMINATION INFORMATION DISTORTION;

IMAGE ANALYSIS;

EID: 0036452681     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. A.K. Aiyer, Robust Image Compression using Gauss Mixture Models, Ph.D. dissertation, Stanford University Electrical Engineering Department, August 2001.
2. R.M. Gray, "Gauss mixture vector quantization," Proc. Int. Conf. Acoust., Speech, and Signal Processing, vol. 3, pp. 1769-1772, 2001.
3. R.M. Gray, J.C. Young, and A.K. Aiyer, "Minimum discrimination information clustering: modeling and quantization with Gauss mixtures," Proc. Int. Conf. Image Processing, vol. 3, pp. 14-17, 2001.
4. K. Pyun, C. S. Won, J. Lim, and R. M. Gray "Texture classification based on multiple Gauss mixture vector quantizers" Proc. Int. Conf. Multimedia and Expo, Lausanne, Switzerland, August 2002.
5. J. Li, A. Najmi, and R.M. Gray, "Image classification by a two dimensional hidden Markov model," Proc. Int. Conf. Acoust., Speech, and Signal Processing, vol. 6, pp. 3313-3316, 1999.
6. J. Li and R.M. Gray, "Image classification based on a multi-resolution two dimensional hidden Markov model," Proc. Int. Image Processing, vol. 1, pp. 348-352, 1999.
7. L. Vandenberghe, S. Boyd, and S.-P. Wu, "Determinant maximization with linear matrix inequality constraints," SIAM Journal on Matrix Analysis and Applications, vol. 19, pp. 499-533, 1998.
8. C.S. Won, "A block-based MAP segmentation for image compression," IEEE Tr. on Circuits and Systems for Video Technology, vol. 8, pp. 592-601, 1998.
9. A.F.M. Smith and G.O. Roberts, "Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods," J. R. Statist. Soc. B, 55, No. 1, pp. 3-23, 1993.