Online Behavioral Analysis with Application to Emotion State Identification
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 0 of its 23 references that are in the map. First posted on arXiv 27 Feb 2021.
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