LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs

Paulo Rodrigo Cavalin, Robert Sabourin, Ching Y. Suen. LoGID: An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs. Pattern Recognition, 45(9):3544-3556, 2012. [doi]

Authors

Paulo Rodrigo Cavalin

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Robert Sabourin

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Ching Y. Suen

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