@string{icassp="Proceedings of International Conference on Acoustics, Speech and Signal Processing"}
@InProceedings{Kato-etal92a,
  author =	 {Kato, Zoltan and Zerubia, Josiane and Berthod, Mark},
  title =	 {Satellite Image Classification Using a Modified
                  {M}etropolis Dynamics},
  booktitle =	 icassp,
  pages =	 {573-576},
  year =	 1992,
  volume =	 3,
  address =	 {San-Francisco, California, USA},
  month =	 mar,
  organization = {IEEE},
  ps =		 {../papers/icassp92.ps},
  abstract =	 {In this paper, we present a pseudo-stochastic
                  variation of the Metropolis dynamics for
                  combinatorial optimization in image classification
                  using Markov Random Fields. At high temperature, the
                  behavior of our algorithm is similar to the
                  stochastic ones. However, if the temperature is less
                  than a certain threshold, it becomes
                  deterministic. The ``length'' of the
                  ``pseudo-stochastic'' phase is controlled by a
                  constant threshold used in the modified
                  dynamics. The algorithm compares favorably to recent
                  stochastic or deterministic methods and yields an
                  approximate but usually good solution to the
                  optimization problem. The algorithm runs on a
                  Connection Machine. It is applied to standard pixel
                  classification problem; objective and subjective
                  comparisons with other algorithms have been made. }
}