A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization

José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano. A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization. Neurocomputing, 544:126288, August 2023. [doi]

@article{FernandezRodriguezPBDLO23,
  title = {A convolutional autoencoder and a neural gas model based on Bregman divergences for hierarchical color quantization},
  author = {José David Fernández-Rodríguez and Esteban J. Palomo and Jesús Benito-Picazo and Enrique Domínguez and Ezequiel López-Rubio and Francisco Ortega-Zamorano},
  year = {2023},
  month = {August},
  doi = {10.1016/j.neucom.2023.126288},
  url = {https://doi.org/10.1016/j.neucom.2023.126288},
  researchr = {https://researchr.org/publication/FernandezRodriguezPBDLO23},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {544},
  pages = {126288},
}