Title
APPROXIMATING SYMMETRIC POSITIVE SEMIDEFINITE TENSORS OF EVEN ORDER().
Abstract
Tensors of various orders can be used for modeling physical quantities such as strain and diffusion as well as curvature and other quantities of geometric origin. Depending on the physical properties of the modeled quantity, the estimated tensors are often required to satisfy the positivity constraint, which can be satisfied only with tensors of even order. Although the space [Formula: see text] of 2m(th)-order symmetric positive semi-definite tensors is known to be a convex cone, enforcing positivity constraint directly on [Formula: see text] is usually not straightforward computationally because there is no known analytic description of [Formula: see text] for m > 1. In this paper, we propose a novel approach for enforcing the positivity constraint on even-order tensors by approximating the cone [Formula: see text] for the cases 0 < m < 3, and presenting an explicit characterization of the approximation Σ(2) (m) ⊂ Ω(2) (m) for m ≥ 1, using the subset [Formula: see text] of semi-definite tensors that can be written as a sum of squares of tensors of order m. Furthermore, we show that this approximation leads to a non-negative linear least-squares (NNLS) optimization problem with the complexity that equals the number of generators in Σ(2) (m). Finally, we experimentally validate the proposed approach and we present an application for computing 2m(th)-order diffusion tensors from Diffusion Weighted Magnetic Resonance Images.
Year
DOI
Venue
2012
10.1137/100801664
SIAM J. Imaging Sciences
Keywords
Field
DocType
physical property,even-order tensors,estimated tensors,analytic description,geometric origin,straightforward computationally,physical quantity,approximating symmetric positive semidefinite,novel approach,convex cone,positivity constraint,bioinformatics,biomedical research,diffusion tensor imaging
Combinatorics,Mathematical optimization,Curvature,Physical quantity,Tensor,Mathematical analysis,Positive-definite matrix,Omega,Sigma,Explained sum of squares,Mathematics,Convex cone
Journal
Volume
Issue
ISSN
5
1
1936-4954
Citations 
PageRank 
References 
9
0.51
17
Authors
3
Name
Order
Citations
PageRank
Angelos Barmpoutis120216.23
Jeffrey Ho22190101.78
B.C. Vemuri34208536.42