[Colloquium] Summer Statistics Seminar: THOMAS SCHULTZ, Monday, July 11, 2011, at 4:00 PM, in Eckhart 110

[Katie Casey]

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> The University of Chicago
> Department of Statistics
> Seminar Series
> 
> THOMAS SCHULTZ
> Computation Institute, University of Chicago
> Symmetric Tensor Fields in Diffusion MRI and Computer Vision
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> MONDAY, July 11, 2011, at 4:00 PM
> 110 Eckhart Hall, 5734 S. University Avenue
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> ABSTRACT
> 
> Tensors, which can be seen as a generalization of matrices to higher order, are increasingly recognized as a valuable mathematical framework for the analysis of complex data. This talk will present applications of symmetric tensor fields in Diffusion MRI, a medical imaging modality that allows for a noninvasive investigation of the nerve fiber pathways in the human brain. In particular, I will highlight the use of low-rank tensor approximations to infer fiber directions from mixture models. The second part of the talk will survey some initial results on transferring and extending similar mathematical models to applications in image processing and computer vision.
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> 
> OCCASIONAL SUMMER STATISTICS SEMINAR
> Mondays 4PM, Eckhart 110, unless noted otherwise
> 
> Sep 15: Andrew Gelman (Columbia)
> Parameterization and Bayesian Modeling
> [Note: Thursday 4PM, Eckhart 133]
> 
> Sep 12: Shmuel Friedland (UIC)
> Completion of Missing Entries in Matrices and Tensors
> 
> Aug 15: Suvrit Sra (MPI Tubingen)
> Metric Nearness: The Problem, and Recent Advances
> 
> Aug 08: Sonja Petrovic (Penn State)
> Algebraic Statistics for Random Graph Models
> 
> Jul 25: Yuan Yao (Peking)
> Geometric and Topological Methods for Data Science
> 
> Jul 11: Thomas Schultz (Chicago)
> Symmetric Tensor Fields in Diffusion MRI and Computer Vision
> 
> Jun 27: Andreas Argyriou (TTI)
> Structured Sparsity, Proximal Optimization and Multi-Task Learning
> 
> 
> 
> For further information, please contact Lek-Heng Lim at 773.702.4263 or send email (lekheng at galton.uchicago.edu). If you wish to subscribe to our email list, please visit the following website: https//lists.uchicago.edu/web/info/statseminars.
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