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 : 33.

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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:	https://espace2.etsmtl.ca/id/eprint/4862

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