Multilayer Architectures for Facial Action Unit Recognition.

In expression recognition and many other computer vision applications, the recognition performance is greatly improved by adding a layer of nonlinear texture filters between the raw input pixels and the classifier. The function of this layer is typically known as feature extraction. Popular filter types for this layer are Gabor energy filters (GEFs) and local binary patterns (LBPs).

Detecting contingencies: an infomax approach.

The ability to detect social contingencies plays an important role in the social and emotional development of infants. Analyzing this problem from a computational perspective may provide important clues for understanding social development, as well as for the synthesis of social behavior in robots. In this paper, we show that the turn-taking behaviors observed in infants during contingency detection situations are tuned to optimally gather information as to whether a person is responsive to them.