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 Label Distribution Learning with Label-Specific Features. IJCAI 2019. https://doi.org/10.24963/ijcai.2019/460
Emotion6:
http://chenlab.ece.cornell.edu/people/kuanchuan/index.html
Flickr_LDL,Twitter_LDL:
http://cv.nankai.edu.cn/projects/VSA/VSA.html
https://github.com/sherleens/EmotionDistributionLearning
run LSDemo.m
Ubuntu 18.04
Matlab R2018a
Intel® Core™ i5-6500 CPU @ 3.20GHz × 4