270 search results - page 28 / 54 » Hierarchical Gaussian process latent variable models |
179
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JMLR
2006
15 years 4 months ago
2006
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
145
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ICIP
2000
IEEE
15 years 8 months ago
2000
IEEE
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
138
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ICARCV
2008
IEEE
15 years 10 months ago
2008
IEEE
— We consider a discrete-time dynamical system with Boolean and continuous states, with the continuous state propagating linearly in the continuous and Boolean state variables, a...
137
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
149
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ISI
2007
Springer
15 years 10 months ago
2007
Springer
Abstract— Community discovery has drawn significant research interests among researchers from many disciplines for its increasing application in multiple, disparate areas, inclu...