This is an implementation of the paper
Chih-Kuan Yeh*, Wei-Chieh Wu*, Wei-Jen Ko, Yu-Chiang Frank Wang 'Learning Deep Latent Spaces for Multi-Label Classfications' published in AAAI 2017 (* indicated equal contribution)
We thank Weiran Wang, Raman Arora, Karen Livescu and Jeff Bilmes for the layout of the matlab code in http://ttic.uchicago.edu/~wwang5/dccae.html
Chih-Kuan Yeh thanks his co-author of the papers, Wei-Chieh Wu who contributed significantly to modifying the layout of the program.
The code is further polished by Chih-Kuan Yeh.
If you have any questions regarding the code please contact Chih-Kuan Yeh at jason6582@gmail.com
The demo code is ran on parsed dataset of mirflickr, which can easily be applied on other multi-label datasets by including the .mat file and modifying demo.m
Simply run demo.m to see the results on mirflickr.