jiangyangby / mm18-deep-cognitive-subspace-clustering

Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)

MM18-Deep-Cognitive-Subspace-Clustering

This is a TensorFlow implementation of the Deep Cognitive Subspace Clustering model as described in our paper:

Y. Jiang, Z. Yang, Q. Xu, X. Cao and Q. Huang. When to Learn What: Deep Cognitive Subspace Clustering. ACM MM 2018.

Acknowledge

The implementation is based on Deep Subspace Clustering Network. We sincerely thank the authors for their work.

Dependencies

• Tensorflow
• numpy
• sklearn
• munkres
• scipy

Data

The data and pre-trained auto-encoder model can be found here. Please put the data in data/ and the pre-trained model in models/.

Citation

Please cite our paper if you use this code in your own work:

@inproceedings{jiang2018learn,
  title={When to Learn What: Deep Cognitive Subspace Clustering},
  author={Jiang, Yangbangyan and Yang, Zhiyong and Xu, Qianqian and Cao, Xiaochun and Huang, Qingming},
  booktitle={2018 ACM Conference on Multimedia},
  pages={718--726},
  year={2018}
}