This is the code for "Semi Supervised Multi Label Learning with Joint Dimensionality Reduction"
IEEE Signal Processing Letters ¡°Semi-Supervised Multi-Lable Learning with Joint Dimensionality Reduction¡±
Author: Tingzhao Yu, Wensheng Zhang Institute of Automation, Chinese Academy of Sciences
This package needs the support of LibSVM, readers are advised to add the mex files into '../util'.
1¡¢Download: Average_precision.m coverage.m Hamming_loss.m One_error.m Ranking_loss.m and sample data.mat from http://cse.seu.edu.cn/PersonalPage/zhangml/files/LIFT.rar
2¡¢Download: dist2.m and scale_dist.mexglx (need mex) from http://lihi.eew.technion.ac.il/files/Demos/SelfTuning/ZPclustering.zip
3¡¢Add these seven files to '../util'
4¡¢Add 'sample data.mat' to '../Data'
5¡¢Run demo.m
Corresponding: yutingzhao2013@ia.ac.cn, tingzhao.yu@nlpr.ia.ac.cn