2015
Hierarchical Sparse and Collaborative Low-Rank representation for emotion recognition
ICASSP 2015accepted
In this paper, we design a Collaborative-Hierarchical Sparse and Low-Rank (C-HiSLR) model that is natural for recognizing human emotion in visual data. Previous attempts require explicit expression components, which are often unavailable and difficult to recover. Instead, our model exploits the low-…