Héctor Allende-Cid, Diego Acuña, Héctor Allende. Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets. In César Armando Beltrán Castañón, Ingela Nyström, Fazel Famili, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November 8-11, 2016, Proceedings. Volume 10125 of Lecture Notes in Computer Science, pages 318-325, 2016. [doi]
@inproceedings{Allende-CidAA16,
title = {Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets},
author = {Héctor Allende-Cid and Diego Acuña and Héctor Allende},
year = {2016},
doi = {10.1007/978-3-319-52277-7_39},
url = {http://dx.doi.org/10.1007/978-3-319-52277-7_39},
researchr = {https://researchr.org/publication/Allende-CidAA16},
cites = {0},
citedby = {0},
pages = {318-325},
booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November 8-11, 2016, Proceedings},
editor = {César Armando Beltrán Castañón and Ingela Nyström and Fazel Famili},
volume = {10125},
series = {Lecture Notes in Computer Science},
isbn = {978-3-319-52276-0},
}