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Online Behavioral Analysis with Application to Emotion State Identification

2021-02-27 23:53:52
Lei Gao, Lin Qi, Ling Guan
arXiv_CV
       
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2103.00356

PDF

https://arxiv.org/pdf/2103.00356.pdf

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