Donald Geman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Interpretable by Design: Learning Predictors by Composing Interpretable Queries.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Variational Information Pursuit for Interpretable Predictions.

[BibT_eX]

[DOI]

Aditya Chattopadhyay

Kwan Ho Ryan Chan

Benjamin David Haeffele

René Vidal

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Attribute Prototype Learning for Interactive Face Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2021

Efficient representations of tumor diversity with paired DNA-RNA aberrations.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

2020

Graph Discovery for Visual Test Generation.

[BibT_eX]

[DOI]

Neil Hallonquist

Genevieve L. Stein-O'Brien

Laurent Younes

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer.

[BibT_eX]

[DOI]

Bioinform., 2018

2017

Information Pursuit: A Bayesian Framework for Sequential Scene Parsing.

[BibT_eX]

[DOI]

CoRR, 2017

2015

Visual Turing test for computer vision systems.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2015

Confidence Sets for Fine-Grained Categorization and Plant Species Identification.

[BibT_eX]

[DOI]

Asma Rejeb Sfar

Int. J. Comput. Vis., 2015

Tail Risk Constraints and Maximum Entropy.

[BibT_eX]

[DOI]

Hélyette Geman

Nassim Nicholas Taleb

Entropy, 2015

switchBox: an R package for k-Top Scoring Pairs classifier development.

[BibT_eX]

[DOI]

Bioinform., 2015

2013

Multi-study Integration of Brain Cancer Transcriptomes Reveals Organ-Level Molecular Signatures.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2013

Learning Multivariate Distributions by Competitive Assembly of Marginals.

[BibT_eX]

[DOI]

Francisco Sánchez-Vega

Jason Eisner

Laurent Younes

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Identification of direction in gene networks from expression and methylation.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2013

Identification of plants from multiple images and botanical IdKeys.

[BibT_eX]

[DOI]

Asma Rejeb Sfar

Proceedings of the International Conference on Multimedia Retrieval, 2013

Vantage Feature Frames for Fine-Grained Categorization.

[BibT_eX]

[DOI]

Asma Rejeb Sfar

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011

A Comprehensive Statistical Model for Cell Signaling.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Comparing machines and humans on a visual categorization test.

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2011

2010

Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC).

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2010

2009

A Statistical Framework for Image Category Search from a Mental Picture.

[BibT_eX]

[DOI]

Marin Ferecatu

IEEE Trans. Pattern Anal. Mach. Intell., 2009

The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations.

[BibT_eX]

[DOI]

BMC Bioinform., 2009

2008

Real-World Image Annotation and Retrieval: An Introduction to the Special Section.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Merging microarray data from separate breast cancer studies provides a robust prognostic test.

[BibT_eX]

[DOI]

BMC Bioinform., 2008

Microarray Classification from Several Two-Gene Expression Comparisons.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007

Large-scale integration of cancer microarray data identifies a robust common cancer signature.

[BibT_eX]

[DOI]

Lei Xu

Raimond L. Winslow

BMC Bioinform., 2007

Interactive Search for Image Categories by Mental Matching.

[BibT_eX]

[DOI]

Marin Ferecatu

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

A Hierarchy of Support Vector Machines for Pattern Detection.

[BibT_eX]

[DOI]

Hichem Sahbi

J. Mach. Learn. Res., 2006

Diversity in multimedia information retrieval research.

[BibT_eX]

[DOI]

Alexander G. Hauptmann

Jelena Tesic

Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2006

Interactive image retrieval by mental matching.

[BibT_eX]

[DOI]

Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2006

In search of a unifying theory for image interpretation.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Ordinal Coding of Image Microstructure.

[BibT_eX]

Alexey Koloydenko

Proceedings of the 2006 International Conference on Image Processing, 2006

A Design Principle for Coarse-to-Fine Classification.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

The Trace Model for Object Detection and Tracking.

[BibT_eX]

[DOI]

Proceedings of the Toward Category-Level Object Recognition, 2006

2005

Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data.

[BibT_eX]

[DOI]

Bioinform., 2005

Simple decision rules for classifying human cancers from gene expression profiles.

[BibT_eX]

[DOI]

Bioinform., 2005

An interactive system for mental face retrieval.

[BibT_eX]

[DOI]

Yuchun Fang

Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

A Unified Stochastic Model for Detecting and Tracking Faces.

[BibT_eX]

[DOI]

Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV 2005), 2005

Experiments in Mental Face Retrieval.

[BibT_eX]

[DOI]

Yuchun Fang

Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005

2004

A Coarse-to-Fine Strategy for Multiclass Shape Detection.

[BibT_eX]

[DOI]

Yali Amit

Xiaodong Fan

IEEE Trans. Pattern Anal. Mach. Intell., 2004

Hierarchical Object Indexing and Sequential Learning.

[BibT_eX]

[DOI]

Xiaodong Fan

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Self-Normalized Linear Tests.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

Tree-Structured Neural Decoding.

[BibT_eX]

[DOI]

Christian d'Avignon

J. Mach. Learn. Res., 2003

2002

Fast Face Detection with Precise Pose Estimation.

[BibT_eX]

[DOI]

François Fleuret

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Face detection using coarse-to-fine support vector classifiers.

[BibT_eX]

[DOI]

Hichem Sahbi

Proceedings of the 2002 International Conference on Image Processing, 2002

2001

Model-based classification trees.

[BibT_eX]

[DOI]

Bruno Jedynak

IEEE Trans. Inf. Theory, 2001

Coarse-to-Fine Face Detection.

[BibT_eX]

[DOI]

François Fleuret

Int. J. Comput. Vis., 2001

1999

A Computational Model for Visual Selection.

[BibT_eX]

[DOI]

Yali Amit

Neural Comput., 1999

1997

Shape Quantization And Recognition With Randomized Trees.

[BibT_eX]

[DOI]

Yali Amit

Neural Comput., 1997

1996

An Active Testing Model for Tracking Roads in Satellite Images.

[BibT_eX]

[DOI]

Bruno Jedynak

IEEE Trans. Pattern Anal. Mach. Intell., 1996

1995

Nonlinear image recovery with half-quadratic regularization.

[BibT_eX]

[DOI]

Chengda Yang

IEEE Trans. Image Process., 1995

1992

Constrained Restoration and the Recovery of Discontinuities.

[BibT_eX]

[DOI]

George Reynolds

IEEE Trans. Pattern Anal. Mach. Intell., 1992

A nonlinear filter for film restoration and other problems in image processing.

[BibT_eX]

[DOI]

Stuart Geman

Donald E. McClure

CVGIP Graph. Model. Image Process., 1992

1990

Boundary Detection by Constrained Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1990

1987

Stochastic model for boundary detection.

[BibT_eX]

[DOI]

Image Vis. Comput., 1987

1984

Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images.

[BibT_eX]

[DOI]

Stuart Geman