Structured and sparse canonical correlation analysis as a brain-wide multi-modal data fusion approach
AR Mohammadi-Nejad… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Multi-modal data fusion has recently emerged as a comprehensive neuroimaging analysis
approach, which usually uses canonical correlation analysis (CCA). However, the current …
approach, which usually uses canonical correlation analysis (CCA). However, the current …
Structured sparse multiset canonical correlation analysis of simultaneous fNIRS and EEG provides new insights into the human action-observation network
The action observation network (AON) is a network of brain regions involved in the
execution and observation of a given action. The AON has been investigated in humans …
execution and observation of a given action. The AON has been investigated in humans …
Correlation identification in multimodal weibo via back propagation neural network with genetic algorithm
M Liu, W Guan, J Yan, H Hu - Journal of Visual Communication and Image …, 2019 - Elsevier
The rapid development of social media services has spawned abundant user generated
contents (UGC), such as Sina Weibo, which is one of the biggest Chinese microblogging …
contents (UGC), such as Sina Weibo, which is one of the biggest Chinese microblogging …
Multi-modal data fusion using group-structured sparse canonical correlation analysis: a simulation study
AR Mohammadi-Nejad… - … and Image Analysis …, 2017 - ieeexplore.ieee.org
Recent studies in the field of multi-modal data fusion demonstrate that considering the prior
spatial structure and groupness information available from many years of intensive …
spatial structure and groupness information available from many years of intensive …
[CITATION][C] Hadis Dashtestani1, Helga O. Miguel1, Emma E. Condy1, Selin Zeytinoglu2, John B. Millerhagen1, Ranjan Debnath3, Elizabeth Smith4, Tulay Adali5 …
AH Gandjbakhche1Ε - Scientific Reports, 2022