David Mumford

According to our database, David Mumford authored at least 35 papers between 1990 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2020

The Convergence of AI code and Cortical Functioning - a Commentary.

David Mumford

CoRR, 2020

2015

Alexander Grothendieck <i>(1928-2014)</i>.

David Mumford, John Tate

Nat., 2015

2012

Sectional Curvature in Terms of the Cometric, with Applications to the Riemannian Manifolds of Landmarks.

Mario Micheli, Peter W. Michor, David Mumford

SIAM J. Imaging Sci., 2012

2011

Real time temperature measurement for multilayered piezoelectric stack actuators.

Mohammad Islam, Rudolf J. Seethaler, David Mumford

Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

Hysteresis independent on-line capacitance measurement for piezoelectric stack actuators.

Mohammad Islam, Rudolf J. Seethaler, David Mumford

Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

2009

Is there a general structure for grammars?

David Mumford

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2007

Shape representation via conformal mapping.

Matt Feiszli, David Mumford

Proceedings of the Computational Imaging V, San Jose, 2007

2006

2D-Shape Analysis Using Conformal Mapping.

Eitan Sharon, David Mumford

Int. J. Comput. Vis., 2006

A Stochastic Grammar of Images.

Song Chun Zhu, David Mumford

Found. Trends Comput. Graph. Vis., 2006

2004

Modeling and decoding motor cortical activity using a switching Kalman filter.

Wei Wu, Michael J. Black, David Mumford, Yun Gao, Elie Bienenstock, John P. Donoghue

IEEE Trans. Biomed. Eng., 2004

2003

The Nonlinear Statistics of High-Contrast Patches in Natural Images.

Ann B. Lee, Kim Steenstrup Pedersen, David Mumford

Int. J. Comput. Vis., 2003

2002

Surface Evolution under Curvature Flows.

Conglin Lu, Yan Cao, David Mumford

J. Vis. Commun. Image Represent., 2002

Bayesian Pot-Assembly from Fragments as Problems in Perceptual-Grouping and Geometric-Learning.

David B. Cooper, Andrew R. Willis, Stuart Andrews, Jill Baker, Yan Cao, Dongjin Han, Kongbin Kang, Weixin Kong, Frederic F. Leymarie, Xavier Orriols, Senem Velipasalar, Eileen Vote, Martha Sharp Joukowsky, Benjamin B. Kimia, David H. Laidlaw, David Mumford

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

2001

Introduction by Guest Editors.

Alan L. Yuille, Song Chun Zhu, David Mumford

Int. J. Comput. Vis., 2001

Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model.

Ann B. Lee, David Mumford, Jinggang Huang

Int. J. Comput. Vis., 2001

Assembling virtual pots from 3D measurements of their fragments.

David B. Cooper, Andrew R. Willis, Stuart Andrews, Jill Baker, Yan Cao, Dongjin Han, Kongbin Kang, Weixin Kong, Frederic F. Leymarie, Xavier Orriols, Senem Velipasalar, Eileen Vote, Martha Sharp Joukowsky, Benjamin B. Kimia, David H. Laidlaw, David Mumford

Proceedings of the 2001 Conference on Virtual Reality, 2001

2000

Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I.

Song Chun Zhu, Alan L. Yuille, David Mumford

Int. J. Comput. Vis., 2000

Statistics of Range Images.

Jinggang Huang, Ann B. Lee, David Mumford

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999

Statistics of Natural Images and Models.

Jinggang Huang, David Mumford

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998

Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling.

Song Chun Zhu, Ying Nian Wu, David Mumford

Int. J. Comput. Vis., 1998

GRADE: Gibbs Reaction and Diffusion Equation.

Song Chun Zhu, David Mumford

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

1997

Prior Learning and Gibbs Reaction-Diffusion.

Song Chun Zhu, David Mumford

IEEE Trans. Pattern Anal. Mach. Intell., 1997

Minimax Entropy Principle and Its Application to Texture Modeling.

Song Chun Zhu, Ying Nian Wu, David Mumford

Neural Comput., 1997

Modeling images and textures by minimax entropy.

Song-Chun Zhu, Ying Nian Wu, David Mumford

Proceedings of the Human Vision and Electronic Imaging II, 1997

Learning Generic Prior Models for Visual Computation.

Song Chun Zhu, David Mumford

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996

FRAME: Filters, Random fields, and Minimax Entropy - Towards a Unified Theory for Texture Modeling.

Song Chun Zhu, Ying Nian Wu, David Mumford

Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1994

Bayesian Rationale for the Variational Formulation.

David Mumford

Proceedings of the Geometry-Driven Diffusion in Computer Vision, 1994

Chordal Completions of Planar Graphs.

Fan R. K. Chung, David Mumford

J. Comb. Theory, Ser. B, 1994

Geometric invariant theory, Third Edition.

David Mumford, John Fogarty, Frances Kirwan

Ergebnisse der Mathematik und ihrer Grenzgebiete 34, Springer, ISBN: 978-3-540-56963-3, 1994

1993

Filtering, Segmentation and Depth

Mark Nitzberg, David Mumford, Takahiro Shiota

Lecture Notes in Computer Science 662, Springer, ISBN: 3-540-56484-5, 1993

1992

On the computational architecture of the neocortex.

David Mumford

Biol. Cybern., 1992

Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model.

Tai Sing Lee, David Mumford, Alan L. Yuille

Proceedings of the Computer Vision, 1992

A Bayesian treatment of the stereo correspondence problem using half-occluded regions.

Peter N. Belhumeur, David Mumford

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992

1991

Chordal Completions of Grids and Planar Graphs.

Fan R. K. Chung, David Mumford

Proceedings of the Planar Graphs, 1991

1990

The 2.1-D sketch.

Mark Nitzberg, David Mumford

Proceedings of the Third International Conference on Computer Vision, 1990