A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-label Data: SLE-ML

Mariko Tai, Mineichi Kudo. A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-label Data: SLE-ML. In Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings. Volume 11896 of Lecture Notes in Computer Science, pages 525-534, Springer, 2019. [doi]

@inproceedings{TaiK19,
  title = {A Supervised Laplacian Eigenmap Algorithm for Visualization of Multi-label Data: SLE-ML},
  author = {Mariko Tai and Mineichi Kudo},
  year = {2019},
  doi = {10.1007/978-3-030-33904-3_49},
  url = {https://doi.org/10.1007/978-3-030-33904-3_49},
  researchr = {https://researchr.org/publication/TaiK19},
  cites = {0},
  citedby = {0},
  pages = {525-534},
  booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings},
  editor = {Ingela Nyström and Yanio Hernández Heredia and Vladimir Milián Núñez},
  volume = {11896},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-33904-3},
}