arXiv
Open Access
2021
Online Behavioral Analysis with Application to Emotion State Identification
Lei Gao
Lin Qi
Ling Guan
Abstrak
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.
Penulis (3)
L
Lei Gao
L
Lin Qi
L
Ling Guan
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2021
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓