Donald Geman

Professor of Mathematics and Statistics, Center for Imaging Science

geman@jhu.edu

Visual recognition
Statistical learning
Image retrieval
Gene expression
Neural decoding

Address:

Center for Imaging Science

Clark Hall 302 A

Johns Hopkins University

3400 N. Charles Street

Baltimore, MD 21218

Phone: (410) 516-7678  / FAX: (410) 516-4594

E-mail: geman@jhu.edu

Curriculum Vitae [html]

 Publications

D. Geman, "On the variance of the number of zeros of a stationary Gaussian process,'' Ann. Math. Stat., 43, 977-982, 1972.

D. Geman and J. Horowitz, "Occupation times for smooth stationary processes,'' Ann. of Probability, 1, 131-137, 1973.

D. Geman and J. Horowitz, "Remarks on Palm measures,'' Ann. Inst. H. Poincare, IX, 215-232, 1973.

D. Geman, "A note on the distribution of hitting times,'' Ann. of Probability, 1, 854-856, 1973.

D. Geman and J. Horowitz, "Local times and supermartingales,'' Z. Wahrscheinlichkeitstheorie verw. Geb.

D. Geman and J. Horowitz, "Transformations of flows by discrete random measures,'' Indiana Univ. Math. J., 24, 291-306, 1974.

D. Geman and J. Horowitz, "Random shifts which preserve measure,'' Proc. Amer. Math. Soc., 49, 143-150, 1975.

D. Geman and J. Horowitz, "Polar sets and Palm measures in the theory of flows,'' Trans. Amer. Math. Soc., 208, 141-159, 1975.

D. Geman, J. Horowitz and J. Zinn, "Recurrence of stationary sequences,'' Ann. of Probability, 4, 372-381, 1976.

D. Geman and J. Horowitz, "Occupation times for functions with countable level sets and the regeneration of stationary sequences,'' Z. Wahrscheinlichkeitstheorie verw. Geb., 35, 189-211, 1976.

D. Geman and J. Horowitz, "Local times for real and random functions,'' Duke Math. J., 43, 809-828, 1976.

D. Geman, "A note on the continuity of local times,'' Proc. Amer. Math. Soc., 57, 321-326, 1976.

D. Geman, "On the approximate local growth of multi-dimensional random fields,'' Z. Wahrscheinlichkeitstheorie verw. Geb., 38, 237-251, 1977.

D. Geman, "Local times for vector functions: energy integrals and local growth rates,'' Houston J. Math., 3, 195-206, 1977.

D. Geman and J. Zinn, "On the increments of multi-dimensional random fields,'' Ann. of Probability, 6, 151-158, 1978.

D. Geman, "Dispersion points for linear sets and approximate moduli for some stochastic processes,'' Trans. Amer. Math. Soc., 253, 257-272, 1979.

D. Geman and J. Horowitz, "Occupation densities,'' Ann. of Probability ("Special Invited Paper''), 8, 1-67, 1980.

D. Geman and J. Horowitz, "Smooth perturbations of a function with a smooth local time,'' Trans. Amer. Math. Soc., 267, 517-530, 1981.

D. Geman and S. Geman, "Parameter estimation for some Markov random fields,'' Reports on Pattern Analysis, No. 11, Div. of Appl. Math., Brown University, 1983.

D. Geman,"Parameter estimation for Markov random fields with hidden variables and experiments with the EM algorithm,'' Reports on Pattern Analysis, No. 21, Div. of Appl. Math., Brown University, 1984.

D. Geman, J. Horowitz and J. Rosen, "A local time analysis of the intersections of Brownian paths in the plane,'' Ann. of Probability, 12, 86-107, 1984.

H. Derin, H. Elliott, R. Christi and D. Geman, "Bayes smoothing algorithms for segmentation of images modeled by Markov random fields,'' IEEE Trans. Pattern Anal. Mach. Intell., 6, 707-721, 1984.

S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,'' IEEE Trans. Pattern Anal. Mach. Intell., 6, 721-741, 1984.

D. Geman, "Bayesian image analysis by adaptive annealing,'' Proc. IGARSS '85, 1, 269-276, 1985.

H. Derin, H. Elliott, R. Christi and D. Geman, "Application of the Gibbs distribution to image segmentation,'' Statistical Image Processing and Graphics, Marcel-Dekker, 3-24, 1986.

D. Geman and S. Geman, "Bayesian image analysis,'' Disordered Systems and Biological Organization, eds. E. Bienenstock, F. Fogelman, and G. Weisbuch, NATO ASI Series, Vol. F20, Springer-Verlag, Berlin, 1986.

D. Geman, "A stochastic model for boundary detection,'' Image and Vision Computing, 5, 61-65, 1987.

D. Geman and S. Geman, "Relaxation and annealing with constraints,'' Complex Systems Technical Report No. 35, Div. of Appl. Math., Brown University, 1987.

D. Geman, S. Geman and C. Graffigne, "Locating object and texture boundaries,'' Pattern Recognition Theory and Applications, eds. P. Devijver and J. Kittler, NATO ASI Series, Vol. F30,Springer-Verlag, Berlin,1987.

D. Geman, S. Geman, C. Graffigne, and P. Dong, "Boundary detection by constrained optimization,'' IEEE Trans. Pattern Anal. Mach. Intell., 12, 609-628, 1990.

D. Geman, "Random Fields and Inverse Problems in Imaging,'' Lecture Notes in Mathematics, No. 1427, Springer-Verlag, 113-193, 1990.

Remarks on hard modeling vs. image processing, circumstellar disks, and model validation,'' Restoration of HST Images and Spectra, Space Telescope Science Institute, 74-79, 1990.

D. Geman and B. Jedynak, "Detection of roads in SPOT satellite images,'' Proc. IGARSS '91, Helsinski, Finland, June 1991.

D. Geman and B. Gidas, "Image Analysis and Computer Vision,'' Spatial Statistics and Image Processing, National Research Council, National Academy Press, Washington, DC, 9-37, 1991.

P. Dupuis, D. Geman, J. Horowitz, and G. Reynolds, "Statistical inference on the shape of circumstellar disks from HST observations,'' Technical Report, Dept. of Mathematics, Univ. of Massachusetts, 1991.

S. Geman, D.E. McClure and D. Geman, "A nonlinear filter for film restoration and other problems in image processing,'' CVGIP: Graphical Models and Image Proc., 54, 281-289, 1992.

D. Geman and G. Reynolds, "Constrained restoration and the recovery of discontinuities,'' IEEE Trans. Pattern Anal. Mach. Intell., 14, 367-383, 1992.

D. Geman, G. Reynolds and C. Yang, "Stochastic algorithms for restricted image spaces and experiments in deblurring,'' Markov Random Fields Theory and Applications, eds. R. Chellappa, A. Jain, Academic Press, 39-68, 1993.

D. Geman, J. Horowitz and J. Kepner, "Computation of IRAS fluxes via a priori astrometry,'' Proc. Conf. on Infrared Astronomy with Arrays: The Next Generation, Los Angeles, July, 1993.

D. Geman and B. Jedynak, "Shape recognition and twenty questions,'' Proc., RFIA '94, 1, 21-37, 1994.

D. Geman, "The entropy strategy for shape recognition,'' Proc. 1994 IEEE-IMS Workshop on Information Theory and Statistics, Alexandria, VA, October, 1994.

D. Geman and C. Yang, "Nonlinear image recovery with half-quadratic regularization,'' IEEE Trans. Image Processing, 4, 932-946, 1995.

D. Geman and B. Jedynak, "An active testing model for tracking roads from satellite images,'' IEEE Trans. Pattern Anal. Mach. Intell., 18, 1-14, 1996.

F. Jung, B. Jedynak and D. Geman, "Recognizing buildings in aerial images,'' Automatic Extraction of Man-Made Objects from Aerial and Space Images, II, Birkhauseer (Basel), 173-182, Ascona, May 1997.

Y. Amit and D. Geman, "Shape quantization and recognition with randomized trees,'' Neural Computation, 9, 1545-1588, 1997.

Y. Amit, D. Geman and K. Wilder, "Joint induction of shape features and tree classifiers,'' IEEE Trans. Pattern Anal. Mach. Intell., 19, 1300-1306, 1997.

Y. Amit, D. Geman and B. Jedynak, "Efficient focusing and face detection,'' Face Recognition: From Theory to Applications, eds. H. Wechsler et al, NATO ASI Series F, Springer-Verlag, Berlin, 157-173, 1998.

D. Geman and A. Koloydenko, "Invariant statistics and coding of natural microimages,'' Proc. IEEE Workshop on Statistical and Computational Theories of Vision, Fort Collins, CO, June, 1999.

F. Fleuret and D. Geman, "Graded learning for object detection,'' Proc. IEEE Workshop on Statistical and Computational Theories of Vision, Fort Collins, CO, June, 1999.

C. Li and D. Geman, ``Active testing at multiple resolutions,'' Proc. ASA Conference, Baltimore, 1999.

Y. Amit and D. Geman, "A computational model for visual selection,'' Neural Computation, 11, 1691-1715, 1999.

D. Geman and R. Moquet, "A stochastic feedback model for image retrieval,'' Proc. RFIA 2000, Paris, February, 2000.

D. Geman and B. Jedynak, "Model-based classification trees,'' IEEE Trans. Info. Theory, 47, 1075-1082, 2001.

F. Fleuret and D. Geman, "Coarse-to-fine face detection,'' Inter. J. Computer Vision, 41, 85-107, 2001.

D. Geman, "Interrogation Bayesienne d'une base de don'ees,'' Proc. 33'rd Journees de Statistique, 15-20, Nantes, 2001.

D. Geman and R. Moquet, "Q \& A models for interactive search,'' Technical Report, 2001.

F. Fleuret and D. Geman, "Fast face detection with precise pose estimation,'' Proc. ICPR2002, 1, 235-238, 2002.

H. Sahbi, D. Geman and N. Boujemaa, "Face Detection using coarse-to-fine support vector classifiers,'' Proc. ICIP-02, 3, 925-928, 2002.

S. Krempp, D. Geman and Y. Amit, Sequential learning with reusable parts for object detection,'' Technical Report, 2002.

D. Geman, "Coarse-to-fine classification and scene labeling,'' Nonlinear Estimation and Classification (eds. D.D.Denison et al.), Lecture Notes in Statistics, 171, New York: Springer-Verlag, 31-48, 2003.

C. d'Avignon and D. Geman, "Tree-structured neural decoding,'' Journal of Machine Learning Research, 4, 743-754, 2003.

S. Gangaputra and D. Geman, "Self-normalized linear tests,'' Proc. CVPR 2004, 2, 616-622, 2004.

X. Fan and D. Geman, "Hierarchical object indexing and sequential learning,'' Proc. ICPR 2004, 3, 65-68, 2004.

D. Geman, C. d'Avignon, D. Naiman and R. Winslow, "Classifying gene expression profiles from pairwise mRNA comparisons,'' Statis. Appl. in Genetics and Molecular Biology, 3, 2004.

D. Geman, C. d'Avignon, D. Naiman, R. Winslow and A. Zeboulon, "Gene expression comparisons for class prediction in cancer studies,'' Proceedings 36'th Symposium on the Inteface: Computing Science and Statistics, 2004.

Y. Amit, D. Geman and X. Fan, "A coarse-to-fine strategy for multi-class shape detection,"  IEEE Trans. PAMI, 28, 1606-1621,  2004.

G. Blanchard and D. Geman, "Sequential testing designs for pattern recognition,'' Annals of Statistics, 33, 1155-1202, June, 2005.

H. Sahbi and D. Geman, "A hierarchy of support vector machines for pattern detection," Technical Report, Project IMEDIA, INRIA, January, 2005.

S. Gangaputra and D. Geman, "A unified stochastic model for detecting and tracking faces," Proceedings Second Canadian Conf. on Computer and Robot Vision (CRV'05), 306-313, 2005.

Y. Fang and D. Geman, "Experiments in mental face retrieval," Proceedings AVBPA 2005, Lecture Notes in Computer Science, 637-646, July 2005. (Best Student Paper Award)

A-C Tan, D. Naiman, L. Xu, R. Winslow and D. Geman, "Simple decision rules for classifying human cancers from gene expression profiles," Bioinformatics Advance Access published on August 16, 2005. doi:10.1093/bioinformatics/bti631.

L. Xu, A-C Tan, D. Naiman, D. Geman and R. Winslow, "Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data," Bioinformatics Advance Access published on August 30, 2005. doi:10.1093/bioinformatics/bti647.