Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI.
Wenwen LiJian LouShuo ZhouHaiping LuPublished in: MLMI@MICCAI (2019)
Keyphrases
- sparse regression
- sparse bayesian learning
- tensor decomposition
- regularized least squares
- regression model
- sparsity inducing
- relevance vector machine
- higher order
- human brain
- sparsity constraints
- linear regression
- canonical correlation analysis
- high order
- support vector
- sparse kernel
- feature selection and classification
- sparse representation
- model selection
- regression problems
- data analysis
- regression algorithm
- estimation problems
- high dimensional
- sparse linear
- activation detection
- support vector regression
- compressive sensing
- least squares
- tensor factorization
- auxiliary information
- support vector machine
- gaussian processes
- regression analysis
- feature selection