In functional connectivity analysis, networks of interest are defined based on correlation with the mean time course of a user-selected `seed' region. In this work we propose ...
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Copyright 2005 IEEE. Published in the 2006 International Conference on Image Processing (ICIP-2006), October 8-11, 2006, Atlanta, Georgia. Personal use of this material is permitt...
Sangho Yoon, Michael Harville, H. Harlyn Baker, Ni...
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...