Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.
Chenyang TaoThomas E. NicholsXue HuaChristopher R. K. ChingEdmund T. RollsPaul M. ThompsonJianfeng FengPublished in: NeuroImage (2017)
Keyphrases
- high dimensional
- tensor field
- latent factors
- matrix factorization
- low dimensional
- dimensionality reduction
- implicit feedback
- diffusion tensor
- data points
- model selection
- factor analysis
- feature space
- high dimensional data
- computer vision
- human brain
- structure tensor
- white matter
- magnetic resonance images
- affine invariant
- mr images
- image segmentation