2015 - Member of the National Academy of Sciences
2010 - SIAM Fellow For contributions to stochastic processes, image analysis, and statistical learning.
His work on Artificial intelligence expands to the thematically related Regularization (linguistics). Much of his study explores Artificial intelligence relationship to Regularization (linguistics). His study in Inverse problem extends to Mathematical analysis with its themes. Donald Geman frequently studies issues relating to Mathematical analysis and Inverse problem. In his study, he carries out multidisciplinary Classification of discontinuities and Smoothness research. In his articles, Donald Geman combines various disciplines, including Smoothness and Classification of discontinuities. His research on Image (mathematics) often connects related topics like Image processing. Donald Geman incorporates Image processing and Image restoration in his studies. His Image restoration study typically links adjacent topics like Image (mathematics).
His work focuses on many connections between Binary tree and other disciplines, such as Combinatorics, that overlap with his field of interest in Tree (set theory). Many of his studies on Tree (set theory) involve topics that are commonly interrelated, such as Combinatorics. Many of his studies involve connections with topics such as Inverse and Affine transformation and Geometry. His Geometry research extends to the thematically linked field of Inverse. He incorporates Artificial intelligence and Data science in his research. Donald Geman integrates Mathematical analysis and Distribution (mathematics) in his research. In his works, he conducts interdisciplinary research on Distribution (mathematics) and Mathematical analysis. He integrates Algorithm with Binary tree in his research. Much of his study explores Image (mathematics) relationship to Similarity (geometry).
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Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images*
Stuart Geman;Donald Geman.
Journal of Applied Statistics (1993)
Tackling the widespread and critical impact of batch effects in high-throughput data
Jeffrey T. Leek;Robert B. Scharpf;Héctor Corrada Bravo;Héctor Corrada Bravo;David Simcha.
Nature Reviews Genetics (2010)
Constrained restoration and the recovery of discontinuities
D. Geman;G. Reynolds.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1992)
Shape quantization and recognition with randomized trees
Yali Amit;Donald Geman.
Neural Computation (1997)
Nonlinear image recovery with half-quadratic regularization
D. Geman;Chengda Yang.
IEEE Transactions on Image Processing (1995)
Boundary detection by constrained optimization
D. Geman;S. Geman;C. Graffigne;P. Dong.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1990)
An active testing model for tracking roads in satellite images
D. Geman;B. Jedynak.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1996)
Simple decision rules for classifying human cancers from gene expression profiles
Aik Choon Tan;Daniel Q. Naiman;Lei Xu;Raimond L. Winslow.
Coarse-to-Fine Face Detection
Francois Fleuret;Donald Geman.
International Journal of Computer Vision (2001)
Random fields and inverse problems in imaging
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