Donald J. Geman | |
|---|---|
 Donald Geman (right), Fall 1983, Paris | |
| Born | September 20, 1943 |
| Alma mater | Columbia University University of Illinois Urbana-Champaign Northwestern University |
| Relatives | Stuart Geman (brother) |
| Awards | ISI highly cited researcher |
| Scientific career | |
| Fields | Mathematics Statistics |
| Institutions | University of Massachusetts Johns Hopkins University École Normale Supérieure de Cachan |
| Doctoral advisor | Michael Marcus |
Donald Jay Geman (born September 20, 1943) is an American applied mathematician and a leading researcher in the field of machine learning and pattern recognition. He and his brother, Stuart Geman, are very well known for proposing the Gibbs sampler and for the first proof of the convergence of the simulated annealing algorithm,[1] in an article that became a highly cited reference in engineering (over 21K citations according to Google Scholar, as of January 2018).[2] He is a professor at the Johns Hopkins University and simultaneously a visiting professor at École Normale Supérieure de Cachan.
- ^ S. Geman; D. Geman (1984). "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. 6 (6): 721–741. doi:10.1109/TPAMI.1984.4767596. PMID 22499653. S2CID 5837272.
- ^ Google Scholar: Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration.