2015
Weighted pairwise Gaussian likelihood regression for depression score prediction
ICASSP 2015accepted
This paper presents a technique in which feature vectors are mapped onto ordinal ranges of clinical depression scores using weighted pairwise Gaussians. The position of a test vector with respect to these partitions is used to perform depression score prediction. Results found on a set of spectral a…