By Topic

An approximate method of evaluating the joint likelihood for first-order GMRFs

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Wu, Z. ; Dept. of Radiol., Pennsylvania Univ., Philadelphia, PA, USA ; Leahy, R.

A highly accurate approximation is proposed for computing the joint likelihood for first-order Gauss-Markov random fields (GMRFs) defined on irregularly shaped lattices. The problem in computing the likelihood lies in evaluating the determinant of a very large matrix B. Its exact evaluation is limited to either very small irregular regions or a few regularly shaped regions. The approximation proposed here is based on an eigenanalysis of B

Published in:

Image Processing, IEEE Transactions on  (Volume:2 ,  Issue: 4 )