Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization

Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Anand Paul 0001, Richi Nayak. Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization. In Haris Aziz 0001, Débora Corrêa, Tim French 0002, editors, AI 2022: Advances in Artificial Intelligence - 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5-8, 2022, Proceedings. Volume 13728 of Lecture Notes in Computer Science, pages 675-689, Springer, 2022. [doi]

@inproceedings{Balasubramaniam22-3,
  title = {Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization},
  author = {Anandkumar Balasubramaniam and Thirunavukarasu Balasubramaniam and Anand Paul 0001 and Richi Nayak},
  year = {2022},
  doi = {10.1007/978-3-031-22695-3_47},
  url = {https://doi.org/10.1007/978-3-031-22695-3_47},
  researchr = {https://researchr.org/publication/Balasubramaniam22-3},
  cites = {0},
  citedby = {0},
  pages = {675-689},
  booktitle = {AI 2022: Advances in Artificial Intelligence - 35th Australasian Joint Conference, AI 2022, Perth, WA, Australia, December 5-8, 2022, Proceedings},
  editor = {Haris Aziz 0001 and Débora Corrêa and Tim French 0002},
  volume = {13728},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-22695-3},
}