Abstract: A coefficient-constrained independent component analysis (CC-ICA) framework for second-level group analysis is proposed, which incorporates group ...
A coefficient-constrained independent component analysis (CC-ICA) framework for second-level group analysis is proposed, which incorporates group membership ...
Finally, we propose a strategy for optimal feature/component selection, aiming to identify optimal group-discriminative brain networks as well as the tasks ...
Exploration of the optimal group-discriminating features using CC-ICA. Jing Sui, Vince D. Calhoun. 2008 42nd Asilomar Conference on Signals, Systems and ...
Finally, we propose a strategy for optimal feature/component selection, aiming to identify optimal group-discriminative brain networks as well as the tasks ...
In the first simulation, we compare CC‐ICA with regular ICA and choose appropriate assumptions for the former by testing. There are two statistical assumptions ...
An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques · Validation of Shared and ...
Calhoun, "ICA-fNORM: Spatial normalization of fMRI data using intrinsic group-ICA ... Sui and V. D. Calhoun, "Exploration of Optimal Group-Discriminating Features ...
where Gaussian conditional densities are found is in effect optimal for discrimination. In this case, classes are well separated in projection space. This ...
Our hypothesis was that combining scICA and msFNC would yield group differences and classification results that are robust to data collected at different sites ...