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

Autor:	José David Fernández-Rodríguez, Esteban J. Palomo, Jesús Benito-Picazo, Enrique Domínguez, Ezequiel López-Rubio, Francisco Ortega-Zamorano
Rok vydání:	2023
Předmět:	Artificial Intelligence Cognitive Neuroscience Computer Science Applications
Zdroj:	Neurocomputing. 544:126288
ISSN:	0925-2312
DOI:	10.1016/j.neucom.2023.126288
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8437ddcf62a21c5a2f6045ba14064a8e https://doi.org/10.1016/j.neucom.2023.126288 Zobrazit plný text záznamu Full Text from ScienceDirect