  In this paper, we propose a novel discriminative model for online behavioral
analysis with application to emotion state identification. The proposed model
is able to extract more discriminative characteristics from behavioral data
effectively and find the direction of optimal projection efficiently to satisfy
requirements of online data analysis, leading to better utilization of the
behavioral information to produce more accurate recognition results.
