Title
Compact learning for multi-label classification
Abstract
•We propose a new framework named CL to embed the features and labels simultaneously.•The embedding processes of the two space in CL are with mutual guidance.•We propose a simple yet effective instantiation of CL named CMLL.•CMLL is compatible with flexible multi-label classifiers.
Year
DOI
Venue
2021
10.1016/j.patcog.2021.107833
Pattern Recognition
Keywords
DocType
Volume
Machine learning,Multi-label classification,Label compression,Compact learning
Journal
113
Issue
ISSN
Citations 
1
0031-3203
0
PageRank 
References 
Authors
0.34
26
6
Name
Order
Citations
PageRank
Jiaqi Lv1163.57
Tianran Wu200.34
Chenglun Peng300.34
Yunpeng Liu401.35
xu ning52515.72
Xin Geng6155783.54