Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI.
Wenwen LiJian LouShuo ZhouHaiping LuPublished in: CoRR (2018)
Keyphrases
- sparse regression
- tensor decomposition
- sparse bayesian learning
- sparsity inducing
- regularized least squares
- regression model
- least squares
- sparse kernel
- relevance vector machine
- linear regression
- sparse linear
- high order
- support vector regression
- canonical correlation analysis
- feature selection and classification
- higher order
- sparsity constraints
- data analysis
- high dimensional
- estimation problems
- regression algorithm
- compressive sensing
- human brain
- event related
- structured sparsity
- activation detection
- regression analysis
- auxiliary information
- brain activity
- gaussian process regression
- image restoration
- regularized regression