Linked independent component analysis for multimodal data fusion

321 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Review of Multivariate Methods for Multimodal Fusion of Brain Imaging Data (2011, unknown): “(2004), Hamandi et al. (2008), De 8 J.”
A Survey on Deep Learning for Multimodal Data Fusion (2020, background): “Groves, Beckmann, Smith, and Woolrich (2011) presented a multimodal independent component analysis that is a probabilistic model using the Bayesian framework to combine the independent variables of each different modality.”
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions (2016, unknown): “In the case of orthogonality or statistical independence constraints, the problem in (40) can be related to models of group PCA/ICA through suitable pre-processing, dimensionality reduction and post-processing procedures [94, 110, 240].”
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects (2015, methodology): “Linked tensor ICA [154] has one factor matrix”