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Subsampling the Concurrent AdaBoost Algorithm: An Efficient Approach for Large Datasets

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]

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