Dropout Non-negative Matrix Factorization for Independent Feature Learning

Zhicheng He, Jie Liu, Caihua Liu, Yuan Wang, Airu Yin, Yalou Huang. Dropout Non-negative Matrix Factorization for Independent Feature Learning. In Chin-Yew Lin, Nianwen Xue, Dongyan Zhao, Xuanjing Huang, Yansong Feng, editors, Natural Language Understanding and Intelligent Applications - 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2-6, 2016, Proceedings. Volume 10102 of Lecture Notes in Computer Science, pages 201-212, Springer, 2016. [doi]

@inproceedings{HeLLWYH16,
  title = {Dropout Non-negative Matrix Factorization for Independent Feature Learning},
  author = {Zhicheng He and Jie Liu and Caihua Liu and Yuan Wang and Airu Yin and Yalou Huang},
  year = {2016},
  doi = {10.1007/978-3-319-50496-4_17},
  url = {http://dx.doi.org/10.1007/978-3-319-50496-4_17},
  researchr = {https://researchr.org/publication/HeLLWYH16},
  cites = {0},
  citedby = {0},
  pages = {201-212},
  booktitle = {Natural Language Understanding and Intelligent Applications - 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, December 2-6, 2016, Proceedings},
  editor = {Chin-Yew Lin and Nianwen Xue and Dongyan Zhao and Xuanjing Huang and Yansong Feng},
  volume = {10102},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-50495-7},
}