PhD Thesis
From this page, you can acces an abbreviated french
version (154 pages) or the
full length english
version (212 pages) of my thesis. It is available
in PostScript format and an abstract of each chapter in HTML
format.
You can download
You can also download a single chapter from the correspondig web page.
- Z. Kato, M. Berthod, J. Zerubia: A hierarchical Markov random Field Model
and Multi-Temperature Annealing for parallel image classification.
IEEE-CVGIP Graphical Models and Image Processing, 58(1):18-37, Jan.
1996.
- M. Berthod, Z. Kato, S. Yu, J. Zerubia: Bayesian image classification
using Markov random fields. Image and Vision Computing, 14(1996):
285-295, 1996.
- Z. Kato, J. Zerubia, M. Berthod: Unsupervised Parallel Image
Classification Using a Hierarchical Markovian Model. In Proc. ICCV,
Cambridge, MA, June 20-23, 1995.
- Z. Kato, M. Berthod, J. Zerubia, W. Pieczynski: Unsupervised
Adaptive Image Segmentation. In Proc. ICASSP, May 8-12 1995, Detroit,
Michigan, USA.
- Z. Kato, J. Zerubia, M. Berthod: Unsupervised
Parallel Image Classification Using a Hierarchical Markovian Model.Research Report 2528, INRIA, France, Apr. 1995.
- J. Zerubia, Z. Kato, M. Berthod: Multi-Temperature Annealing: a new
approach for the energy-minimization of hierarchical Markov Random Field
models. In Proc. ICPR-Computer Vision and Applications, Jerusalem, Oct. 1994.
- M. Berthod, Z. Kato, J. Zerubia: DPA: A Deterministic Approach
to the MAP. Accepted for publication in IEEE Trans. on Image Processing, 1994
- Z. Kato, M. Berthod, J. Zerubia: A
hierarchical Markov random Field Model and Multi-Temperature
Annealing for parallel image classification. Research Report 1938, INRIA, France, Aug. 1993.
- Z. Kato, M. Berthod, J. Zerubia: Multi-scale Markov Random Field models
for parallel image classification. In Proc. ICCV, Berlin, May 1993.
- Z. Kato, M. Berthod, J. Zerubia: Parallel image classification using
multi-scale Markov Random Fields. In Proc. ICASSP,
Minneapolis, Apr. 1993.
- Z. Kato, J. Zerubia, M. Berthod: Bayesian image classification using
Markov Random Fields. In A. Mohammad-Djafari and G. Demoments editors,
Maximum Entropy and Bayesian Methods, pp375-382, Kluwer Academic Publisher,
1993.
- Z. Kato, J. Zerubia, M. Berthod: Image
Classification Using Markov Random
Fields with Two New Relaxation Methods: Deterministic Pseudo Annealing and
Modified Metropolis Dynamics.
Research Report 1606, INRIA, France, Feb. 1992.
- Z. Kato, J. Zerubia, M. Berthod: Satellite image classification using a
Modified Metropolis Dynamics. In Proc. ICASSP, San-Francisco, California,
USA, Mar. 1992.
Last modified: Fri Aug 29 15:38:18 MDT 1997