Texture classification from single uncalibrated images: Random matrix theory approach

Esmaeil S. Nadimi, Jürgen Herp, M. M. Buijs, Victoria Blanes-Vidal. Texture classification from single uncalibrated images: Random matrix theory approach. In Naonori Ueda, Shinji Watanabe, Tomoko Matsui, Jen-Tzung Chien, Jan Larsen, editors, 27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017. pages 1-6, IEEE, 2017. [doi]

@inproceedings{NadimiHBB17,
  title = {Texture classification from single uncalibrated images: Random matrix theory approach},
  author = {Esmaeil S. Nadimi and Jürgen Herp and M. M. Buijs and Victoria Blanes-Vidal},
  year = {2017},
  doi = {10.1109/MLSP.2017.8168115},
  url = {https://doi.org/10.1109/MLSP.2017.8168115},
  researchr = {https://researchr.org/publication/NadimiHBB17},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017},
  editor = {Naonori Ueda and Shinji Watanabe and Tomoko Matsui and Jen-Tzung Chien and Jan Larsen},
  publisher = {IEEE},
  isbn = {978-1-5090-6341-3},
}