Relevance Vector Regression Approach for Estimating Video Features from fMRI
Chia-Yueh Carlton Chu, Janaı́na Mourão-Miranda, Geoffrey Chern-Yee Tan, John Ashburner · 2002
The procedure involved mean removal and applying multivariate linear pattern recognition approaches (i.e. support vector regression (SVR), relevance vector regression (RVR)). The whole fMRI sequences were used, and training was done with the HRF convolved scores. Various pre processing procedures were used (ROI, masking, smoothing). A quadratic programming procedure was then carried to perform a constrained deconvolution, and re-convolution, then smoothing with the Gaussian kernel.