English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Markov random field modelling of fMRI data using a mean field EM-algorithm

Svensen, M., Kruggel, F. J., & von Cramon, D. Y. (1999). Markov random field modelling of fMRI data using a mean field EM-algorithm. In E. R. Hancock, & M. Pelillo (Eds.), Energy Minimization Methods in Computer Vision and Pattern Recognition (pp. 317-330). Berlin: Springer. doi:10.1007/3-540-48432-9_22.

Item is

Basic

show hide
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Svensen, Markus1, Author           
Kruggel, Frithjof J.1, Author           
von Cramon, D. Yves1, Author           
Affiliations:
1MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              

Content

show
hide
Free keywords: -
 Abstract: This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention is given to the theoretical justification for this procedure, based on recent results from the machine learning literature. With these results established, an example is given of the application of this technique for analysis of single trial functional magnetic resonance (fMR) imaging data of the human brain. The resulting model segments fMR images into regions with different 'brain response' characteristics.

Details

show
hide
Language(s): eng - English
 Dates: 2003-05-131999-07-26
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/3-540-48432-9_22
 Degree: -

Event

show
hide
Title: EMMCVPR’99, Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Place of Event: University of York, York, United Kingdom
Start-/End Date: 1999-07-26 - 1999-07-29

Legal Case

show

Project information

show

Source 1

show
hide
Title: Energy Minimization Methods in Computer Vision and Pattern Recognition
Source Genre: Proceedings
 Creator(s):
Hancock, Edwin R.1, Editor
Pelillo, Marcello1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: 1654 Sequence Number: - Start / End Page: 317 - 330 Identifier: ISBN: 978-3-540-48432-5