Technion - Israel Institute of Technology
 
Department of Mathematics
 
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                        PDE AND APPLIED MATHEMATICS SEMINAR
 
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DATE: Tuesday, January 4, 2011
 
SPEAKER: Yaniv Gur  (Scientific Computing and Imaging Institute
 
University of Utah, Salt Lake City)
 
TITLE: High-order tensor decompositions in neuroimaging
 
PLACE: Room 814, Amado Mathematics Building, Technion
 
TIME: 14:30
 
 
 
Abstract:
 
High order tensors are considered as multidimensional arrays or N-mode
arrays with more than two dimensions (modes). There are various
decompositions associated with high-order tensors. These are widely used
to solve  problems in different fields such as psychometrics,
chemometrics, signal processing, computer vision, data mining and much
more. The use of these decompositions in new applications is constantly
increasing. In this talk I will focus on the CP decomposition which
provides a low-rank tensor approximation as a sum of rank-one tensors. I
will show how high-order tensors and CP decompositions can be used to
resolve white-matter structure of the brain.
 
 This is a joint work with Chris Johnson, Sarang Joshi and Fangxiang
Jiao.
 
For further info: Gershon Wolansky  <gershonw@math.technion.ac.il>
For past and future Applied Math/PDE seminars:
 <http://www.math.technion.ac.il/pde/seminar.html>
 
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Technion Math. Net (TECHMATH)
Editor: Michael Cwikel   <techm@math.technion.ac.il> 
Announcement from: Gershon Wolansky   <gershonw@math.technion.ac.il>