Label distribution learning (LDL) can be viewed as the generalization of multi-label learning. This novel paradigm focuses on the relative importance of different labels to a particular instance.
Code accompanying the paper Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally. CVPR 2019. http://openaccess.thecvf.com/content_CVPR_2019/papers/Jia_Facial_Emotion_Distribution_Learning_by_Exploiting_Low-Rank_Label_Correlations_Locally_CVPR_2019_paper.pdf
The group of PALM provides some LDL data sets. http://palm.seu.edu.cn/xgeng/LDL/index.htm
run alg_edl_lrl.py
Ubuntu 18.04
PyCharm 2018
Intel® Core™ i5-6500 CPU @ 3.20GHz × 4