Linux & osx | Quality | Code Review |
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This repository implements the IBP-DL SVA algorithm from [dang2018,elvira2018].
Our instructions have been tested on Linux and Mac only. On Mac, you may need to install a compiler, e.g., gcc (as part of the XCode command line tools).
git clone https://github.com/c-elvira/IBPDL-SVA.git
cd IBPDL-SVA
And run
./install.sh
to complete the installation.
The installation can be tested using the following simple command
python setup.py test
Work in Progress :)
The folders 'exp_eusipco' and 'exp_cap' contain the code to reproduce the experiments in [dang2018,elvira2018].
@Inproceedings{elvira2018,
title = {Small variance asymptotics and bayesian nonparametrics for dictionary learning},
author = {Elvira, Clément and Dang, Hong-Phuong and Chainais, Pierre},
booktitle = {Proc. European Signal Processing Conf. (EUSIPCO)},
address = {Rome, Italy},
year = {2018},
month = {Sept.},
}
@Inproceedings{dang2018,
title = {Vers une méthode d'optimisation non paramétrique pour l'apprentissage de dictionnaire en utilisant Small-Variance Asymptotics pour modèle probabiliste},
author = {Dang, Hong-Phuong and Elvira, Clément and Chainais, Pierre},
booktitle = {(CAP)},
address = {Rouen, France},
year = {2018},
month = {Juin},
}