no. 2
Mélange de lois et segmentation non supervisée des données SPOT
Statistique et analyse des données, Tome 16 (1991) no. 2, pp. 59-79. 
@article{SAD_1991__16_2_59_0,
     author = {Marhic, Nicole and Masson, Pascale and Pieczynski, Wojciech},
     title = {M\'elange de lois et segmentation non supervis\'ee des donn\'ees {SPOT}},
     journal = {Statistique et analyse des donn\'ees},
     pages = {59--79},
     publisher = {Association pour la statistique et ses illustrations},
     volume = {16},
     number = {2},
     year = {1991},
     language = {fr},
     url = {http://www.numdam.org/item/SAD_1991__16_2_59_0/}
}
TY  - JOUR
AU  - Marhic, Nicole
AU  - Masson, Pascale
AU  - Pieczynski, Wojciech
TI  - Mélange de lois et segmentation non supervisée des données SPOT
JO  - Statistique et analyse des données
PY  - 1991
SP  - 59
EP  - 79
VL  - 16
IS  - 2
PB  - Association pour la statistique et ses illustrations
UR  - http://www.numdam.org/item/SAD_1991__16_2_59_0/
LA  - fr
ID  - SAD_1991__16_2_59_0
ER  - 
%0 Journal Article
%A Marhic, Nicole
%A Masson, Pascale
%A Pieczynski, Wojciech
%T Mélange de lois et segmentation non supervisée des données SPOT
%J Statistique et analyse des données
%D 1991
%P 59-79
%V 16
%N 2
%I Association pour la statistique et ses illustrations
%U http://www.numdam.org/item/SAD_1991__16_2_59_0/
%G fr
%F SAD_1991__16_2_59_0
Marhic, Nicole; Masson, Pascale; Pieczynski, Wojciech. Mélange de lois et segmentation non supervisée des données SPOT. Statistique et analyse des données, Tome 16 (1991) no. 2, pp. 59-79. http://www.numdam.org/item/SAD_1991__16_2_59_0/

Besag, J. (1986) On the statistical analysis of dirty pictures. Journ. of the Royal Stat. Soc, Séries B, 48, pp. 259-302. | MR | Zbl

Celeux, G. et Diebolt, J.(1986) L'algorithme SEM : un algorithme d'apprentissage probabiliste pour la reconnaissance de mélanges de densités. Rev. de Stat. Appl., Vol. 34, No.2. | Numdam | Zbl

Chalmond, B. (1989) An iterative Gibbsian technique for reconstruction of m-ary images. Pattern Recognition, Vol. 22, No.6, pp. 747-761.

Dempster, M.M.Laird, N.M. and Rubin, D.B. (1977) Maximum likehood from incomplete data via the EM algorithm. Journ.of the Roy Stat.Soc, Séries B, 39, pp. 1-38. | MR | Zbl

Devijver, P.A. and Dekesel, M.M. (1987) Learning the parameters of a hidden Markov random field image model : a simple example. Pattern Recog. Theory and Appl., NATO ASI Series, Vol. F30, pp 141-163.

Dubes, R.C. and Jain, A.K. (1989) Random field models in image analysis. Journ. of Appl. Stat., Vol. 6, No.2.

Geman, S. and Geman, D. (1984) Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans. on PAMI, PAMI-6, pp. 721-741. | Zbl

Guyon, X. et Yao, J.F. (1987) Analyse discriminante contextuelle. Fifth Intern.Symp.of Data Anal.and Informatics, (INRIA, B.P. 105,78153 Le Chesnay Cedex). | MR

Marhic, N. and Pieczynski, W. (Juin 1991) Estimation of mixture and unsupervised segmentation of images. Proceedings of IGARSS, Helsinki, Finlande.

Marroquin, J.Mitter, S. and Poggio, T. (1987) Probabilistic solution of illposed problems in computational vision. Journ. of the AmStat. Ass., 82, pp. 76-89. | Zbl

Masson, P. and Pieczynski, W. (Sept. 1990) Segmentation of SPOT images by contextual SEM. Proceedings of EUSIPCO, Barcelone, Espagne.

Pieczynski, W. (1989) Estimation of context in random fields. Jour. of Appl. Stat., Vol. 6, No. 2.

Pieczynski, W. (Nov. 1990) Mixture of distributions, Markov random fields and unsupervised segmentation of images. Rapport techn., No. 122, LSTA, Univ. de Paris 6.

Redner, R.A. and Walker, H.F.(Apr. 1984) Mixture densities, maximum likehood and the EM algorithm. Soc for Ind. and Appl.Math. Rev., Vol. 26, No. 2, pp. 195-239. | MR | Zbl

Tilton, J.Vardeman, S. and Swain, P. (Oct. 1982) Estimation of context for statistical classification of multispectral image data. IEEE Trans. on GRS, GE-20, No. 4, pp. 445-452.

Younes, L. (1988) Estimation and annealing for Gibbsian fields. Annales de l'Institut Henri Poincaré, 2. | Numdam | MR | Zbl