Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano. Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences. In Hugo Sanjurjo-González, Iker Pastor-López, Pablo García Bringas, Héctor Quintián, Emilio Corchado, editors, 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2021, Bilbao, Spain, 22-24 September, 2021. Volume 1401 of Advances in Intelligent Systems and Computing, pages 327-337, Springer, 2021. [doi]
@inproceedings{PalomoBDLO21,
title = {Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences},
author = {Esteban J. Palomo and Jesús Benito-Picazo and Enrique Domínguez and Ezequiel López-Rubio and Francisco Ortega-Zamorano},
year = {2021},
doi = {10.1007/978-3-030-87869-6_31},
url = {https://doi.org/10.1007/978-3-030-87869-6_31},
researchr = {https://researchr.org/publication/PalomoBDLO21},
cites = {0},
citedby = {0},
pages = {327-337},
booktitle = {16th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2021, Bilbao, Spain, 22-24 September, 2021},
editor = {Hugo Sanjurjo-González and Iker Pastor-López and Pablo García Bringas and Héctor Quintián and Emilio Corchado},
volume = {1401},
series = {Advances in Intelligent Systems and Computing},
publisher = {Springer},
isbn = {978-3-030-87869-6},
}