Bayesian SPLDA
Machine Learning
2015-11-24 v1
Abstract
In this document we are going to derive the equations needed to implement a Variational Bayes estimation of the parameters of the simplified probabilistic linear discriminant analysis (SPLDA) model. This can be used to adapt SPLDA from one database to another with few development data or to implement the fully Bayesian recipe. Our approach is similar to Bishop's VB PPCA.
Cite
@article{arxiv.1511.07318,
title = {Bayesian SPLDA},
author = {Jesús Villalba},
journal= {arXiv preprint arXiv:1511.07318},
year = {2015}
}
Comments
Technical Report, ViVoLab, I3A, University of Zaragoza, Spain