Performance of the algorithms for arousal and valence in 2015.
收藏Figshare2017-03-11 更新2026-04-29 收录
下载链接：
https://figshare.com/articles/dataset/Performance_of_the_algorithms_for_arousal_and_valence_in_2015_/4744972
下载链接
链接失效反馈官方服务：
资源简介：
BLSTM-ELM—BLSTM-based multi-scale regression fusion with Extreme Learning Machine. AE-HE-BLSTM—BLSTM + features created through deep learning. LS—Linear regression + Smoothing. LSB—Least Squares Boosting + Smoothing. SVR + CCRF—SVR + Continuous Conditional Random Fields.
创建时间：
2017-03-11
