Jorge Rivera-Rovelo, Silena Herold-García, Eduardo Bayro-Corrochano. Object Segmentation Using Growing Neural Gas and Generalized Gradient Vector Flow in the Geometric Algebra Framework. In José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Josef Kittler, editors, Progress in Pattern Recognition, Image Analysis and Applications, 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Cancun, Mexico, November 14-17, 2006, Proceedings. Volume 4225 of Lecture Notes in Computer Science, pages 306-315, Springer, 2006. [doi]
@inproceedings{Rivera-RoveloHB06,
title = {Object Segmentation Using Growing Neural Gas and Generalized Gradient Vector Flow in the Geometric Algebra Framework},
author = {Jorge Rivera-Rovelo and Silena Herold-García and Eduardo Bayro-Corrochano},
year = {2006},
doi = {10.1007/11892755_31},
url = {http://dx.doi.org/10.1007/11892755_31},
tags = {data-flow, algebra},
researchr = {https://researchr.org/publication/Rivera-RoveloHB06},
cites = {0},
citedby = {0},
pages = {306-315},
booktitle = {Progress in Pattern Recognition, Image Analysis and Applications, 11th Iberoamerican Congress in Pattern Recognition, CIARP 2006, Cancun, Mexico, November 14-17, 2006, Proceedings},
editor = {José Francisco Martínez Trinidad and Jesús Ariel Carrasco-Ochoa and Josef Kittler},
volume = {4225},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {3-540-46556-1},
}