Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling

Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng. Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling. In Satinder P. Singh, Shaul Markovitch, editors, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. pages 2308-2314, AAAI Press, 2017. [doi]

@inproceedings{LuoNCYHZ17,
  title = {Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling},
  author = {Minnan Luo and Feiping Nie and Xiaojun Chang and Yi Yang and Alexander G. Hauptmann and Qinghua Zheng},
  year = {2017},
  url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14469},
  researchr = {https://researchr.org/publication/LuoNCYHZ17},
  cites = {0},
  citedby = {0},
  pages = {2308-2314},
  booktitle = {Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA},
  editor = {Satinder P. Singh and Shaul Markovitch},
  publisher = {AAAI Press},
}