首页|New Findings on Computational Intelligence Described by Investigators at Univers ity of Macau (Comprehensive Multisource Learning@@Network for Cross-subject Multi modal Emotion Recognition)
New Findings on Computational Intelligence Described by Investigators at Univers ity of Macau (Comprehensive Multisource Learning@@Network for Cross-subject Multi modal Emotion Recognition)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented.According to news reporting from M acao, People’s Republic of China, by NewsRx journalists, researchstated, “Elect roencephalography (EEG) signals and eye movement signals, which represent intern alphysiological responses and external subconscious behaviors, respectively, ha ve been shown to be reliableindicators for recognizing emotions. However, integ rating these two modalities across multiple subjectspresents several challenges : 1) designing a robust consistency metric that balances the consistency and divergences between heterogeneous modalities across multiple subjects; 2) simultane ously considering intramodalityand inter-modality information across multiple subjects; and 3) overcoming individual differencesamong multiple subjects and g enerating subject-invariant representations of the multimodal fused features.”
MacaoPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningUniversity of Macau
NETL
NSTL
