Figure 3.

Canonical correlation between human-selected and neural network-selected features. The canonical correlation analysis describes the correlation between the human-selected features and the age estimation neural network-selected features (left) and between the human-selected and neural network-selected features of the sex classification network (right). Each bar represents the canonical correlation coefficient between one pair of features from both spaces (neural network feature space and human-selected feature space).