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A THEOREM ABOUT RANDOM FIELDSGRIMMETT GR.1973; BULL. LONDON MATH. SOC.; G.B.; DA. 1973; VOL. 5; NO 13; PP. 81-84; BIBL. 7 REF.Serial Issue

MARKOV RANDOM FIELDS ON AN INFINITE TREE.SPITZER F.1975; ANN. PROBAB.; U.S.A.; DA. 1975; VOL. 3; NO 3; PP. 387-398; BIBL. 11 REF.Article

STATIONARY GAUSSIAN MARKOV FIELDS ON RD WITH A DETERMINISTIC COMPONENT.PITT LD.1975; J. MULTIVAR. ANAL.; U.S.A.; DA. 1975; VOL. 5; NO 3; PP. 300-311; BIBL. 19 REF.Article

DETERMINISTIC GAUSSIAN MARKOV FIELDS.PITT LD.1975; J. MULTIVAR. ANAL.; U.S.A.; DA. 1975; VOL. 5; NO 3; PP. 312-313; BIBL. 2 REF.Article

AN APPROXIMATION OF RANDOM FIELD WITH A BOUNDED DISCRETE PARAMETER SPACEHRYNIEWICZ Z.1980; MATH. COMPUT. SIMUL.; ISSN 0378-4754; NLD; DA. 1980; VOL. 22; NO 4; PP. 324-329; BIBL. 5 REF.Article

MARKOV IMAGE MODELING.WOODS JW.1976; IN: CONF. DECIS. CONTROL. SYMP. ADAPT. PROCESSES. 15. PROC.; CLEARWATER, FLA.; 1976; NEW YORK; INST. ELECTR. ELECTRON. ENG.; DA. 1976; PP. 596-600; BIBL. 14 REF.Conference Paper

Parallélisation massive du recuit simulé = Massive parallelization of simulated annealingTrouve, Alain; Azencott, Robert.1993, 194 p.Thesis

Critical behavior of percolation and Markov fields on branching planesCHRIS WU, C.Journal of applied probability. 1993, Vol 30, Num 3, pp 538-547, issn 0021-9002Article

Utilisation des champs markoviens en modélisation explicative = On the utilisation of Markov fields for explanatory modelisationRicordeau, Anne; Azencott, Robert.1993, 156 p.Thesis

Convergence analysis of the generalized maximum likelihood algorithm in two-dimensional space. I, Image enhancement problemNAMAZI, N. M; BHARAT BISWAL.International journal of modelling & simulation. 1990, Vol 10, Num 3, pp 110-113, issn 0228-6203, 4 p.Article

Champs Markoviens multi-échelles: applications à la segmentation d'images texturées et à la fusion multi-film = Multiscale Markov fields: applications to segmentation of textured images and film fusionWang, Jiaping; Azencott, R.1994, 161 p.Thesis

Quelques résultats nouveaux en statistique des processus: contraste fort, régression à résidus à longue portée, estimation par log-périodogramme = Some new results in process statistics: strong contrast, regression model with long memory errors, log-periodogram estimationHardouin-Ceccantini, Cécile; Guyon, Xavier.1992, 172 p.Thesis

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