Total Kullback-Leibler (tKL) divergence between multivariate normal probability density functions.

tKL between two multivariate normal probability density functions.
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Updated 28 Feb 2012

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This program implements the tKL between two multivariate normal probability density functions following the references:

Baba C. Vemuri, Meizhu Liu, Shun-Ichi Amari and Frank Nielsen,
Total Bregman Divergence and its Applications to DTI Analysis,
IEEE Transactions on Medical Imaging (TMI'10), 2010.

Meizhu Liu, Baba C. Vemuri, Shun-Ichi Amari and Frank Nielsen,
Total Bregman Divergence and its Applications to Shape Retrieval,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR’10),
2010.

If you use this code in any form, please cite the above papers.

Cite As

Meizhu Liu (2024). Total Kullback-Leibler (tKL) divergence between multivariate normal probability density functions. (https://www.mathworks.com/matlabcentral/fileexchange/31835-total-kullback-leibler-tkl-divergence-between-multivariate-normal-probability-density-functions), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.1.0.0

Updated one description.

1.0.0.0