AMS Sectional Meeting Program by Special Session
Current as of Sunday, October 16, 2005 01:09:10
Eastern Section Meeting
Annandale-on-Hudson, NY, October 8-9, 2005
Meeting #1009
Associate secretaries: Lesley M Sibner, AMS lsibner@duke.poly.edu
Special Session on Mathematical Methods for the Analysis of Images and High-Dimensional Data
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Saturday October 8, 2005, 8:30 a.m.-10:50 a.m.
Special Session on Mathematical Methods for the Analysis of Images and High-Dimensional Data, I
Room 208, Olin Language Center
Organizers:
Erik M. Bollt, Clarkson University bolltem@clarkson.edu
Rick Chartrand, Los Alamos National Laboratory rickc@lanl.gov
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8:30 a.m.
A variational approach to reconstructing images corrupted by Poisson noise.
Triet Le, UCLA
Rick Chartrand*, Los Alamos National Laboratory
Thomas J. Asaki, Los Alamos National Laboratory
(1009-68-168) -
9:00 a.m.
Coarse quantization strategies for tree-structured data and applications to digital halftoning.
C. Sinan G\"unt\"urk*, Courant Institute of Mathematical Sciences
(1009-94-208) -
9:30 a.m.
Information Divergence Between Different Image Denoising Algorithms.
Erik M. Bollt, Clarkson University
Andrea Hawkins, Walla Walla College
Triet Le, UCLA
Peter F. Schultz*, Clarkson University
Kevin R. Vixie, Los Alamos National Laboratory
(1009-94-221) -
10:00 a.m.
Numerically solving PDEs on Implicit Surfaces.
John B Greer*, Courant Institute, NYU
Andrea L Bertozzi, UCLA Mathematics
Guillermo Sapiro, University of Minnesota, Electrical and Computer Engineering
(1009-35-186) -
10:30 a.m.
Image Restoration and Decomposition via Bounded Total Variation and Negative Hilbert-Sobolev Spaces.
Linh Lieu*, UCLA
Luminita Vese, UCLA
(1009-00-184)
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8:30 a.m.
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Saturday October 8, 2005, 2:30 p.m.-4:50 p.m.
Special Session on Mathematical Methods for the Analysis of Images and High-Dimensional Data, II
Room 208, Olin Language Center
Organizers:
Erik M. Bollt, Clarkson University bolltem@clarkson.edu
Rick Chartrand, Los Alamos National Laboratory rickc@lanl.gov
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2:30 p.m.
A Non-Linear Approach to Fast Image Comparison and Registration.
Erik M Bollt*, Clarkson University
Luciano da Fontoura Costa, University of São Paulo
(1009-42-212) -
3:00 p.m.
Modeling oscillatory components in images as distributions in generalized Besov spaces.
Triet M. Le*, University of California Los Angeles
John B. Garnett, University of California Los Angeles
Luminita A. Vese, University of California Los Angeles
(1009-00-58) -
3:30 p.m.
Multiscale Strip Constructions.
Gilad Lerman*, University of Minnesota, Minneapolis
Joseph McQuown, Stony Brook University
Bud Mishra, New York University
(1009-42-215) -
4:00 p.m.
An Adaptive Variational Model for Image Decomposition.
Stacey Elizabeth Levine*, Duquesne University
(1009-49-178) -
4:30 p.m.
Morphlets: A Multiscale Transform for Diffeomorphisms.
Jonathan Kaplan*, Stanford University
(1009-42-60)
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2:30 p.m.
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Sunday October 9, 2005, 8:30 a.m.-10:50 a.m.
Special Session on Mathematical Methods for the Analysis of Images and High-Dimensional Data, III
Room 208, Olin Language Center
Organizers:
Erik M. Bollt, Clarkson University bolltem@clarkson.edu
Rick Chartrand, Los Alamos National Laboratory rickc@lanl.gov
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8:30 a.m.
Exact solutions for the L1 TV functional.
Selim Esedoglu, University of Michigan -- Ann Arbor
Kevin R Vixie*, Los Alamos National Laboratory -- T-7
(1009-49-166) -
9:00 a.m.
New of approaches for video dejittering.
Sung Ha Kang*, University of Kentucky
Jianhong Shen, Univerisity of Minnesota
(1009-49-163) -
9:30 a.m.
On the regularity and curvature properties of level sets of minimizers for denoising models using total variation regularization.
William K. Allard*, Duke University
(1009-49-15) -
10:00 a.m.
3D Curve Inference, Co-Helicity and Diffusion MRI Regularization.
Kaleem Siddiqi*, School of Computer Science, McGill University
Peter Savadjiev, School of Computer Science, McGill University
Jennifer S. W. Campbell, McConnell Brain Imaging Centre, McGill University
Bruce G. Pike, McConnell Brain Imaging Centre, McGill University
(1009-53-33) -
10:30 a.m.
Discussion.
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8:30 a.m.