Learning mixture models with support vector machines for sequence classification and segmentation

DOI10.1016/J.PATCOG.2008.12.007zbMath1187.68387OpenAlexW2002264712MaRDI QIDQ733064

Thierry Artières, Trinh Minh Tri Do

Publication date: 15 October 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.12.007

zbMATH Keywords

hidden Markov modelssupport vector machinemixture modelingsequence segmentationon-line handwriting recognition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

Bayesian hybrid generative discriminative learning based on finite Liouville mixture models ⋮ Object classification by fusing SVMs and Gaussian mixtures

Cites Work

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• Discriminative learning for minimum error classification (pattern recognition)

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