Tel Aviv University
  School of Mathematical Sciences
    Applied Mathematics Seminar
Date:          Tuesday December 28st, 2010, 15:10
Place:             Schreiber Bldg, Room 309
Speaker:       Yaniv Gur
            University of Utah
Title:   High-order tensor decompositions in neuroimaging
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 information about future seminars, see
Dr. Adi Ditkowski                                                     |
Department of Applied Mathematics                                     |
School of Mathematical Sciences          phone:  972-3-640-5987       |
Tel Aviv University,                     fax  :  972-3-640-9357       |
Tel Aviv, 69978 Israel                   email:   <>  |
Technion Math Net-2 (TECHMATH2)
Editor: Michael Cwikel   <> 
Announcement from: Adi Ditkowski   <>