Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data.
J. C. PoythressJeongyoun AhnCheolwoo ParkPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- low rank
- trace norm
- high order
- tensor decomposition
- convex optimization
- linear combination
- frobenius norm
- missing data
- higher order
- semi supervised
- decision trees
- matrix decomposition
- denoising
- singular values
- minimization problems
- low rank matrix
- pattern recognition
- rank minimization
- non rigid structure from motion
- machine learning