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

P.R., Cavalin, Robert, Sabourin et C.Y., Suen. 2012. « LOGID : An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs ». [Conference paper]. Pattern Recognition, vol. 45, nº 9. pp. 3544-3556.
Compte des citations dans Scopus : 21.

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Item Type: Peer reviewed article published in a journal
Additional Information: Thématique du numéro : Best Papers of Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA'2011)
Professor:
Professor
Sabourin, Robert
Affiliation: Génie de la production automatisée
Date Deposited: 03 Jul 2013 18:36
Last Modified: 25 Jan 2016 22:19
URI: http://espace2.etsmtl.ca/id/eprint/4862

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