Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models

Kentarou Hitomi, Takashi Bando, Naoki Fukaya, Kazushi Ikeda, Tomohiro Shibata. Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models. In Mario Köppen, Nikola K. Kasabov, George G. Coghill, editors, Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I. Volume 5506 of Lecture Notes in Computer Science, pages 679-687, Springer, 2008. [doi]

@inproceedings{HitomiBFIS09,
  title = {Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models},
  author = {Kentarou Hitomi and Takashi Bando and Naoki Fukaya and Kazushi Ikeda and Tomohiro Shibata},
  year = {2008},
  doi = {10.1007/978-3-642-02490-0_83},
  url = {http://dx.doi.org/10.1007/978-3-642-02490-0_83},
  tags = {analysis},
  researchr = {https://researchr.org/publication/HitomiBFIS09},
  cites = {0},
  citedby = {0},
  pages = {679-687},
  booktitle = {Advances in Neuro-Information Processing, 15th International Conference, ICONIP 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I},
  editor = {Mario Köppen and Nikola K. Kasabov and George G. Coghill},
  volume = {5506},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-02489-4},
}