461 search results - page 19 / 93 » Simulation-based approach to estimation of latent variable m... |
114
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ICA
2010
Springer
15 years 23 days ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
CSDA
2010
14 years 11 months ago
2010
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
MM
2003
ACM
15 years 5 months ago
2003
ACM
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
106
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CDC
2009
IEEE
15 years 3 months ago
2009
IEEE
— In this paper, a new method to design an observer for nonlinear systems described by Takagi-Sugeno (TS) model, with unmeasurable premise variables, is proposed. Most of existin...
ICML
2006
IEEE
16 years 15 days ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...