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Learning Structural SVMs with Latent Variables

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by Chun-nam John Yu , Thorsten Joachims
Citations:51 - 2 self
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BibTeX

@MISC{Yu_learningstructural,
    author = {Chun-nam John Yu and Thorsten Joachims},
    title = {Learning Structural SVMs with Latent Variables},
    year = {}
}

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Abstract

It is well known in statistics and machine learning that the combination of latent (or hidden) variables and observed variables offer more expressive power than models with observed variables alone. Latent variables

Citations

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32 Hidden conditional random fields for gesture recognition - Wang, Quattoni, et al. - 2006
25 Discriminative log-linear grammars with latent variables - Petrov, Klein - 2008
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3 Unsupervised Learning of Multiple Motifs - Bailey, Elkan - 1995
3 GIMSAN: a Gibbs motif finder with significance analysis - Ng, Keich
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