11 search results - page 1 / 3 » Particle Swarm Feature Selection for fMRI Pattern Classifica... |
BIOSTEC
2009
13 years 6 months ago
2009
TMI
2010
12 years 12 months ago
2010
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
MICCAI
2007
Springer
14 years 6 months ago
2007
Springer
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
MICCAI
2010
Springer
13 years 3 months ago
2010
Springer
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
CIBCB
2005
IEEE
13 years 11 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...