jsut: jsut
In VBmix: Variational Bayesian Mixture Models
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
compute Unscented Transform approximation to Jensen-Shannon (JS) divergence between GMM.
Usage
1
jsut(mod1, mod2)
Arguments
mod1
GMM parameter to JS(mod1 || mod2).
mod2
GMM parameter to JS(mod1 || mod2).
Value
JS divergence value.
Author(s)
Pierrick Bruneau
References
Goldberger, J., Gordon, and Greenspan, H. (2003) _An efficient image similarity measure based on
approximations of KL-divergence between two Gaussian mixtures_ ICCV Proceedings, Volume 1, Pages 487-493.
See Also
klut jsmc
Examples
1
VBmix documentation built on May 30, 2017, 2:34 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s) References See Also Examples
Description
compute Unscented Transform approximation to Jensen-Shannon (JS) divergence between GMM.
Usage
1 | jsut(mod1, mod2)
|
Arguments
mod1 |
GMM parameter to JS(mod1 || mod2). |
mod2 |
GMM parameter to JS(mod1 || mod2). |
Value
JS divergence value.
Author(s)
Pierrick Bruneau
References
Goldberger, J., Gordon, and Greenspan, H. (2003) _An efficient image similarity measure based on approximations of KL-divergence between two Gaussian mixtures_ ICCV Proceedings, Volume 1, Pages 487-493.
See Also
klut jsmc
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.