  This short paper describes our solution to the 2018 IEEE World Congress on
Computational Intelligence One-Minute Gradual-Emotional Behavior Challenge,
whose goal was to estimate continuous arousal and valence values from short
videos. We designed four base regression models using visual and audio
features, and then used a spectral approach to fuse them to obtain improved
performance.
