Estimation of high-dimensional connectivity in FMRI data via subspace autoregressive models.
Chee-Ming TingAbd-Krim SeghouaneSh-Hussain SallehPublished in: SSP (2016)
Keyphrases
- high dimensional
- autoregressive model
- low dimensional
- continuous valued
- dimensionality reduction
- high dimensional data
- feature space
- nearest neighbor
- subspace clustering
- signal subspace
- parameter estimation
- autoregressive
- wavelet analysis
- higher order
- model selection
- keypoints
- wavelet domain
- markov random field
- data points
- multiscale