Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences

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]

Abstract

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