Image processing, image analysis, Markov random
fields, and MCMC
S. Geman and D. Geman. Stochastic
relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE-PAMI, 6, 1984, 721-741.
S. Geman and D.E. McClure. Bayesian image
analysis: An application to single photon emission tomography. 1985 Proceedings
of the American Statistical Association. Statistical Computing Section, 1985, 12-18. (pdf)
S. Geman and C.-R. Hwang. Diffusions for
global optimization. SIAM J. Control and Optimization, 24, 1986, 1031-1043. (pdf)
D. Geman and S. Geman. Bayesian image
analysis. Disordered Systems and Biological Organization. Ed. E. Bienenstock,
F. Fogelman, G. Weisbuch. NATO ASI Series, Vol. F20,
Springer-Verlag , Berlin , 1986. (pdf)
D. Geman, S. Geman, and C. Graffigne. Locating texture and object boundaries. Pattern
Recognition Theory and Application. Ed. P. Devijver. NATO ASI Series, Springer-Verlag, Heidelberg, 1986. (pdf)
S. Geman and D.E. McClure. Discussion of:
"On the statistical analysis of dirty pictures," by Julian Besag, J. R. Statist. Soc. B, 48, 1986, 259-302.
S. Geman and C. Graffigne.
Markov random field image models and their applications to computer vision. Proceedings of
the International Congress of Mathematicians 1986. Ed. A.M. Gleason, American Mathematical
Society, Providence , 1987. (pdf)
S. Geman and D.E. McClure. Statistical
methods for tomographic image reconstruction. Proceedings of the 46th Session of the
International Statistical Institute, Bulletin of the ISI, 52, 1987. (pdf)
S. Geman. Experiments in Bayesian Image
Analysis. Bayesian Statistics 3. Ed.
J.M. Bernardo, M.H. DeGroot, D.V. Lindley and A.F.M.
Smith, Oxford University Press, 1988. (pdf)
S. Geman. Stochastic relaxation methods for
image restoration and expert systems. Maximum Entropy and Bayesian Methods in
Science and Engineering (Vol. 2). Ed. G.J.
Erickson and C.R. Smith, Kluwer Academic
Publishers, 1988.
D. Geman, S. Geman, C. Graffigne,
and P. Dong. Boundary detection by constrained optimization. IEEE-PAMI, 12, 1990, 609-628. (pdf)
D. Geman and S. Geman. Discussion of:
"Bayesian image restoration, with two applications in spatial
statistics," by J.E. Besag, Jeremy York and Annie Mollié, Annals of the
Institute of Statistical Mathematics, 43, 1991.
S. Geman, D.E. McClure, and D. Geman. A
nonlinear filter for film restoration and other problems in image processing. CVGIP: Graphical
and Image Processing, 54, 1992,
281-289. (pdf)
S. Geman, K. Manbeck,
and D.E. McClure. A comprehensive statistical model for single photon emission
tomography. In: Markov Random Fields: Theory and Applications. Eds. R. Chellappa
and A. Jain. Academic Press, Boston, 1993, 93-130. (pdf)
S. Geman, K. Manbeck, and D.E. McClure. "Coarse-to-fine search and rank-sum statistics in object recognition." Technical Report, Division of Applied Mathematics, Brown University, 1995. (pdf)
H. Künsch, S.
Geman, and A. Kehagias. Hidden Markov random fields. Annals of
Applied Probability, 5, 1995,
577-602. (pdf)
(complete proofs can be found in this ``appendix" pdf)
L.-B. Chang, Y. Jin, W. Zhang, E. Borenstein,
and S. Geman. Context, Computation, and Optimal ROC Performance in Hierarchical
Models. IJCV, 93(2), 2011, 117-140. (pdf)
T.-L. Chen and S. Geman. Image Warping Using Radial Basis Functions. J. of Applied Statistics, 42(2), 2014, 242-258. (pdf)
L.-B. Chang, E. Borenstein, W. Zhang, and S. Geman. Maximum likelihood features for generative image models. Annals of Applied Statistics, vol. 11(3), 2017, 1275-1308. (pdf)