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EDL-LRL

Introduction

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.

Publication

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

DataSet

The group of PALM provides some LDL data sets. http://palm.seu.edu.cn/xgeng/LDL/index.htm

How to use

run alg_edl_lrl.py

Environment

Ubuntu 18.04

PyCharm 2018

Intel® Core™ i5-6500 CPU @ 3.20GHz × 4

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The implementation of "Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally".

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